minimum classification error mce approach in pattern recognition
handbook of geometric computing - applications in pattern recognition, computer vision, neural computing and robotics (springer)
... using PDF-based geometric diffusion flows They start with variational principles for explaining the origin of the flows, and this geometric approach results in some nice invariance properties In ... and Yiannis Aloimonos examine the problem of instantaneous finding of objects moving independently in a video obtained by a moving camera with a restricted field of view In this problem, the image ... of generating minimum kinetic energy motion for a rigid body in a 3D environment Then they present an interpolation method based on embedding SE(3) into a larger manifold for generating optimal...
- 772
- 357
- 0
Báo cáo khoa học: "Minimum Error Rate Training in Statistical Machine Translation" potx
... words occurring in the development and test corpora given in Table We observe that if we choose a certain error criterion in training, we obtain in most cases the best results using the same ... translation was suggested by Papineni et al (1997) and Och and Ney (2002) The use of minimum classification error training and using a smoothed error count is common in the pattern recognition and speech ... evaluation criterion In contrast to the approach presented in this paper, the training criterion and the statistical models used remain unchanged in the minimum Bayes risk approach In the field of natural...
- 8
- 296
- 0
Báo cáo khoa học: "Using Chunk Based Partial Parsing of Spontaneous Speech in Unrestricted Domains for Reducing Word Error Rate in Speech Recognition" potx
... from putting efforts into further training • alternative language models: An idea for improvement here is to integrate skipped words into the LM (similar to the modeling of noise in speech) In this ... sequences are combined into a single token (e.g., % lot of" ~ "a_lot_of") Longer turns are segmented into short clauses, which are defined as consisting of at least a subject and an inflected verbal ... appearing in the chunk parser's output (including the skipped words14), it was determined, whether it belonged to the correct chunk, or whether it had to be classified into one of these three error...
- 7
- 388
- 0
applied graph theory in computer vision and pattern recognition
... self-loops if necessary 7: end while Output: minimum weight spanning tree - edge induced subgraph on MST 6.1 Minimum Weight Spanning Tree (MST) The minimum spanning tree, called afterward MST, is the ... vertices and contains edges present either in G or in G but not in both Called also ring sum Where \ is the set minus operation and is interpreted as removing elements from X that are in Y Multiresolution ... Macrini, and S Dickinson Many-to-Many Feature Matching in Object Recognition In H Christensen and H.-H Nagel, editors, Cognitive Vision Systems: Sampling Spectrum of Approaches, Lecture Notes in...
- 261
- 669
- 0
(ebook) crc press - pattern recognition in speech and language processing 2003
... Jean-Luc Gauvain Qi (Peter) Li G Riccardi John Makhoul Richard M Schwartz Hermann Ney J H Wright F J Och Contents Minimum Classication Error (MCE) Approach in Pattern Recognition Wu Chou Minimum Bayes-Risk ... Tracking James Allan Minimum Classication Error (MCE) Approach in Pattern Recognition Wu Chou Avaya Labs Research, Avaya Inc., USA CONTENTS 1.1 Introduction Proceedings of The IEEE ấ 1.2 Optimal Classier ... 1.6 Embedded String Model Based MCE Training FIGURE 1.2 A structure diagram of a context dependent head-body-tail digit model in speech recognition 1.6.1 String Model Based MCE Approach ĩẵ ĩè...
- 384
- 1,248
- 0
Báo cáo hóa học: " Distance-based features in pattern classification" ppt
... some termination condition is satisfied 2.3 Pattern classification The goal of pattern classification is to predict the category of the input data using its attributes In particular, a certain number ... Similar to the finding in the previous sections, classification accuracy is improved by concatenating the original features to the distance-based features Conclusion Pattern classification is ... most important research topics in the fields of data mining and machine learning In addition, to improve classification, accuracy is the major research objective Since feature extraction and representation...
- 11
- 244
- 0
báo cáo hóa học: " Distance-based features in pattern classification" ppt
... some termination condition is satisfied 2.3 Pattern classification The goal of pattern classification is to predict the category of the input data using its attributes In particular, a certain number ... Similar to the finding in the previous sections, classification accuracy is improved by concatenating the original features to the distance-based features Conclusion Pattern classification is ... most important research topics in the fields of data mining and machine learning In addition, to improve classification, accuracy is the major research objective Since feature extraction and representation...
- 11
- 177
- 0
Báo cáo hóa học: " Research Article Zero-Forcing and Minimum Mean-Square Error Multiuser Detection in Generalized Multicarrier " docx
... invoked in the inverse operations in Figure for the OZFMUD, but not invoked in the inverse operations in Figure for the SZF-MUD In Figure the channel-dependent timevariant matrices are only invoked ... postprocessing matrix carrying out the coherent combining, such as the maximal ratio combining (MRC) It can be shown that, for the SZF-MUD using MRC, the weight matrix in ZF sense and the postprocessing ... the active users maintain unchanged In this case, the proposed SZFMUD having the processing matrices in (22) in fact has an implementational complexity that is similar to the singleuser MF receiver...
- 13
- 256
- 0
Báo cáo hóa học: " Research Article Zero-Forcing and Minimum Mean-Square Error Multiuser Detection in Generalized Multicarrier DS-CDMA Systems for Cognitive Radio" docx
... invoked in the inverse operations in Figure for the OZFMUD, but not invoked in the inverse operations in Figure for the SZF-MUD In Figure the channel-dependent timevariant matrices are only invoked ... postprocessing matrix carrying out the coherent combining, such as the maximal ratio combining (MRC) It can be shown that, for the SZF-MUD using MRC, the weight matrix in ZF sense and the postprocessing ... the active users maintain unchanged In this case, the proposed SZFMUD having the processing matrices in (22) in fact has an implementational complexity that is similar to the singleuser MF receiver...
- 13
- 239
- 0
A self organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
... this procedure for pattern recognition can be interpreted as identical in its principle to the information processing mentioned below That is, in the neocognitron, the input pattern is compared ... difficulties in designing a pattern- recognizing machine has been the problem how to cope with the shift in position and the distortion in shape of the input patterns The neocognitron proposed in this ... lower part of this input pattern matches with that of the same standard pattern situated at another location Since the pattern matching in the first stage is tested in parallel in a number of small...
- 10
- 575
- 0
Báo cáo sinh học: "Efficient unfolding pattern recognition in single molecule force spectroscopy data" pps
... main contribution is a novel method for analyzing and classifying SMFS data Our pattern recognition algorithm is successful in finding unfolding pathways of bR Our method for finding unfolding ... unfolding event is a main peak “ACB”, where the side peak is “AC” After finding a peak, one can fit the Worm-Like Chain model to the peak Since a Step supports finding patterns of unfolding events ... Rief M: Detecting Molecular Fingerprints in Single Molecule Force Spectroscopy Using Pattern Recognition Japanese Journal of Applied Physics 2007, 46:5540-2 Kuhn M, Janovjak H, Hubain M, Müller...
- 11
- 172
- 0
An Efficient Tree-based Frequent Temporal Inter-object Pattern Mining Approach in Time Series Databases
... series in a weak increasing trend; B in a strong increasing trend; C starting a strong increasing trend; D starting a weak increasing trend; E in a strong decreasing trend; and F in a weak decreasing ... Ting, T Fu, and F Chung, “Mining of stock data: intra- and inter-stock pattern associative classification, ” Int Conf on Data Mining, 2006 [29] C-S Wang and A J.T Lee, “Mining intersequence patterns”, ... temporal pattern mining in time series, [21, 24, 29] for frequent sequential pattern mining in sequential databases, and [6, 17, 28] for frequent temporal pattern mining in temporal databases In the...
- 21
- 200
- 0
Computational intelligence techniques in visual pattern recognition
... the class label information during training Hand is detected using skin color and intrinsic geometry of the hand is used for gesture recognition The algorithm achieved 90% average recognition rate ... recognize patterns from poorly aligned training examples Second, the total number of weights in the network is relatively small since only a small window of the input pattern is fed to TDNN at any instance ... configured to interpret user’s gestures in real-time, to manipulate windows and objects within a graphical user interface, using 14 hand gestures The processing is done in two stages In the first...
- 185
- 259
- 0
Development of 2d and 3d BTEM for pattern recognition in higher order spectroscopic and other data arrays
... Figure 6.11 Original images in color PWC Building (left), Republic Building (center), CapitaLand Building (right) 146 Figure 6.12 Mixture image obtained from mixing matrix A defined in Eq 6.10 147 ... Garland’s Advanced Reaction Engineering, Process Analytics and Chemometrics lab at the Institute of Chemical and Engineering Sciences in Singapore (ICES) The scalar instruments include (1) a densitometer ... important part in analyzing such data A lot of effort has been invested in resolving pure component spectra using SMCR techniques Global optimization plays a key role in achieving numerical solutions...
- 314
- 280
- 0
Pattern recognition approaches to state identification in chemical plants
... unanticipated events and helping to handle them Context is defined as the information that constrains problem solving without intervening in it explicitly Many pattern recognition problems have ... OCON yield higher classification accuracy and require less training burden In chapter 5, the problem of context-based pattern recognition is discussed in detail In pattern recognition, a feature ... temporal patterns accurately with modest training requirement are proposed 2.3 Context-based Pattern Recognition Patterns whose interpretation varies across contexts are common in many engineering...
- 193
- 228
- 0
Error estimation for pattern recognition
... discriminant Passing on to resubstitution and the resampling-based estimators, the error estimators can be expressed in terms of error- counting expressions involving the discriminant With these in ... leads to trying to find an optimal constrained classifier 𝜓 ∈ having error 𝜀 Constraining the classifier can reduce the expected design error, but at the cost of increasing the error of the ... made in different ways A plug -in discriminant is a discriminant obtained from the population discriminant of (1.8) by plugging in sample estimates If the discriminant is a plug -in discriminant...
- 336
- 710
- 0
Diagnostic classification and relapse prediction in alcohol dependence using fMRI from classification algorithm to imaging approach
... relapse risk in clinical practice using fMRI, namely (1) Specifying important brain regions in fMRI classification; (2) Approaching imaging; (3) Validating the approach The first analysis in this ... self-administered drugs obtain incentive salience through the process of Pavlovian conditioning (Everitt & Robins, 2005) The underlying activation of neural structures involved in maintaining the incentive ... Outline of the whole approach The approach was designed as a means of converting the findings of machine-based classification into our understanding of classification rules on functional imaging...
- 132
- 220
- 0
nhận dạng ảnh Pattern recognition
... thần kinh, bao gồm não, tuỷ sống dây thần kinh Mỗi nơ ron có phần thân với nhân bên (gọi soma), đầu thần kinh (gọi sợi trục axon) hệ thống dạng dây thần kinh vào (gọi dendrite) Các dây thần kinh ... ron sinh học Tiếp theo, để tiện theo dõi, đề cập đến ứng dụng mạng nơ ron nhận dạng chữ viết 7.4.1.Bộ não nơ ron sinh học Các nhà nghiên cứu sinh học não cho ta thấy nơ ron (tế bào thần kinh) ... có nơ ron lớp có kiếu ký tự Class Netcount {protected: int dai, rong, N; float amax, amin, *W[1600]; char C[1600]; public; Netcount(int, int); Nhập môn xử lý ảnh số - ĐHBK Hà nội 194 Chơng Bảy:...
- 34
- 1,603
- 16
taguchi approach in optimizing environment factors human
... lighting can have an effect on productivity Juslen (2006) also found that by increasing an illumination levels it is possible to increase a person’s productivity This result in line with finding ... is best used for assembly works in the automotive industry The finding also will be useful to engineers in design humidity systems in order to improve the comfort in the workstation area and control ... selected work station in the automotive industry where it refers mainly towards the assembly section or the manual production line where human energy are involve for in the manufacturing activity Figure...
- 8
- 371
- 2
Tìm thêm: hệ việt nam nhật bản và sức hấp dẫn của tiếng nhật tại việt nam xác định các mục tiêu của chương trình xác định các nguyên tắc biên soạn khảo sát các chuẩn giảng dạy tiếng nhật từ góc độ lí thuyết và thực tiễn khảo sát chương trình đào tạo của các đơn vị đào tạo tại nhật bản xác định thời lượng học về mặt lí thuyết và thực tế điều tra đối với đối tượng giảng viên và đối tượng quản lí điều tra với đối tượng sinh viên học tiếng nhật không chuyên ngữ1 khảo sát thực tế giảng dạy tiếng nhật không chuyên ngữ tại việt nam nội dung cụ thể cho từng kĩ năng ở từng cấp độ mở máy động cơ lồng sóc mở máy động cơ rôto dây quấn đặc tuyến hiệu suất h fi p2 đặc tuyến tốc độ rôto n fi p2 đặc tuyến dòng điện stato i1 fi p2 thông tin liên lạc và các dịch vụ phần 3 giới thiệu nguyên liệu từ bảng 3 1 ta thấy ngoài hai thành phần chủ yếu và chiếm tỷ lệ cao nhất là tinh bột và cacbonhydrat trong hạt gạo tẻ còn chứa đường cellulose hemicellulose chỉ tiêu chất lượng theo chất lượng phẩm chất sản phẩm khô từ gạo của bộ y tế năm 2008 chỉ tiêu chất lượng 9 tr 25