... cyclical, require reciprocal flexion and extension movements of hip, knee, and ankle, and have an alternating activation of agonist/antagonist muscles in a well-timed and coordinated manner [14,15] ... locomotion If these results are confirmed on a larger and controlled scale, the intervention, thanks to its safety and low price, could have a significant impact as a home- rehabilitation treatment ... training to improve locomotion: a case series study basedon gait pattern classification of 153 chronic stroke patients Simona Ferrante1*, Emilia Ambrosini1, Paola Ravelli1, Eleonora Guanziroli2, Franco...
... International Conference onImageand Vision Computing, Auckland, New Zealand, 2000 [4] A Prati, I Mikic, M M Trivedi, and R Cucchiara, “Detecting moving shadows: algorithms and evaluation,” IEEE ... Transactions on Pattern Analysis and Machine Intelligence, vol 25, no 7, pp 918–923, 2003 [5] G Obinata and A Dutta, Vision Systems: Segmentationand Pattern Recognition, I-TECH Education and Publishing, ... Harwood, and L S Davis, “A statistical approach for real -time robust background subtraction and shadow detection,” in Proceedings of the 7th IEEE International Conference on Computer Vision, Frame...
... 51 iii CONTENTS SSWM-Guided Segmentation 60 4.1 The Segmentation Objective Function 62 4.2 Optimization of the Objective Function 64 4.3 The Segmentation Results ... detailed description is in fact not appropriate, since it reconstructs the objects to an unnecessarily high degree of precision basedon the non-accurate manual segmentationOn the other hand, it is ... Model (SSWM) and a corresponding model-guided segmentation method basedon a recently introduced wavelet decomposition and synthesis scheme [48] defined directly on the subdivision surface mesh...
... maximal monotone if W is monotone and I ρW X a3 W is said to be H-monotone if W is monotone and H ρW X 2.6 X for any ρ > 0; X for any ρ > 0; a4 b is called strongly monotone with respect to H and ... need not be H-monotone for some H, and if W is H-monotone and H is strictly monotone, then W is maximal monotone Definition 2.2 see Let H : X → X be a strictly monotone operator and let W : X ... convergence, under suitable conditions, is stable Theorem 3.5 Let H : X → X be strongly monotone and Lipschitz continuous with constants s and h, respectively Let Hn : X → X be strongly monotone...
... pp 485–500, 2004 P Stoica and A Nehorai, “Performance study of conditional and unconditional direction-of-arrival estimation,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol ... speaking, in heteroscedasticity we consider timeseries with time- varying variance; the conditional implies a dependence on the observation of the immediate past, and autoregressive describes a feedback ... Newton approach These methods are basedon multidimensional searching and minimization of log-likelihood function onto parameter space and have heavy computational burden Generally, we would like...
... important timeseries data mining tasks: clustering, motif detection andtimeseries prediction As for clustering, we exploit the multi-resolution property of MP_C in using I-k-Means algorithm for time ... with any multidimensional index structure which helps in fast retrieval The first contribution of this thesis is a new dimensionality reduction method basedon Middle points and Clipping, called ... nơ ron nhân tạo (ANN) dự báo với liệu có tính mùa hay xu hƣớng iii ABSTRACT To overcome high dimensionality of timeseries data, several dimensionality reduction methods, which is basedon feature...
... data and 299 test data We hand-labeled the test data with the correct disambiguation 'answers.' We performed clusteringon the nouns on the left position and the nouns on the right position in ... pairs, and makes use of an efficient estimation algorithm basedon the MDL principle Our clustering method improves upon the previous methods proposed by Brown et al and (Li and Abe, 1996), and ... P(Cn, Cv), and the conditional probabilities P(nlCn ) and P(vlCv ) Since these alternatives are approximations of one another asymptotically, here we use only the simplest formulation In the full...
... Yambe T, Nitta S: Quantification of emotional reaction basedon cross-correlation between pulse wave transmission timeand heart rate in the Mayer wave-band J Japan Circ Cont in Med 2004, 25(1):41-49 ... discrete timebasedon k∆t For a simple expression, x(k) = PTT(k) and y(k) = HR(k) At each second, the cross-correlation function, ϕxy(τ), at lag time τ from x(k) to y(k) was calculated timediscretely ... patterns of autonomic responses to motion sickness stimulation Aviat Space Environ Med 1990, 61(5):399-405 Holmes SR, Griffin MJ: Correlation between heart rate and the severity of motion sickness...
... Journal on Advances in Signal Processing Determination of energy blocks Elimination andclusteringprocesses Determination of pattern blocks Image database Elimination andclusteringprocesses ... quantization for wavelet image coding,” IEEE Transactions onImage Processing, vol 6, no 5, pp 677–693, 1997 [23] E S Hong and R E Ladner, “Group testing for image compression,” IEEE Transactions onImage ... irregular regions within the real images The fundamental limitation of the DCT -based compression is the block -based segmentation or framing [13] In these methods, depend on the block size of the images,...
... illustration of stationary and nonstationary blocks in a sequence of frames (box 1-stationary block, box 2-nonstationary block) Video Analysis and Reconstruction Using Time- Frequency Representations and ... a time- frequency -based procedure for temporally stationary and nonstationary coefficients characterization Various time- frequency distributions have been used for the analysis of noisy nonstationary ... follows Section describes the theory behind the time- frequency analysis and its application for characterizing the temporal stationarity In Section 3, the reconstruction procedure basedon the Hermite...
... 15th International Conference on Pattern Recognition, vol 3, pp 605–608, September 2000 A Manduca, “Multispectral image visualization with nonlinear projections,” IEEE Transactions onImage Processing, ... to the implementation constraints, area, and speed, the designer chooses one version and can adapt the communication to optimize the area/bandwidth/latency tradeoff Adaptation consists in adding ... of Image Analysis Algorithms Image analysis consists of extracting some relevant parameters from one or several images Image analysis examples are object segmentation, feature extraction, motion...
... prediction accuracy, prediction monotonicity, and prediction consistency [27] Accordingly, the Pearson linear correlation coefficient, the Spearman rank order correlation coefficient, and the outlier ratio ... Input image (left) and displayed image (right) (b) 1-D signal formation: S, MS and PS are calculated according to (2) and (3) for the displayed image in (a) along the horizontal direction 6000 ... gradient along one direction (e.g., horizontal direction) and then summing up the results along the other direction (e.g., vertical direction) We denote the luminance channel of an image signal...
... actions basedon spatio -temporal motion patterns,” in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR ’00), vol 1, pp 111–118, Hilton Head Island, ... down Jump and spread hands (b) Figure 5: Motion segmentation results: (a) #1, (b) #2-1 Images with a cross represent over-segmentations and that with a triangle is a miss -segmentation 100 This ... computationally demanding than the motion segmentation, which requires to conduct ICP with only a few neighboring frames Although the methods for motion segmentationand motion retrieval are very...
... recognition application: affordable desktop face recognition basedon a novel 3D camera,” in Proceedings of International Conference on Augmented, Virtual Environments and Three Dimensional Imaging ... The focus of Ye’s method is on the reduction of computational complexity of the conventional LDA method Comparing with the conventional Fish- EURASIP Journal onImageand Video Processing erfaces ... extraction and dimension reduction They have been successfully applied to face feature extraction and recognition [1] The conventional LDA is a 1D feature extraction technique, and so a 2D image must first...
... down Jump and spread hands Oversegmentation Miss -segmentation Figure 7: First 14 segmentation points of sequence #2-1 Image with cross-stands for oversegmentation (a) 100 Recall Precision and recall ... defined segmentation points shown in Figure The solid arrows are the results of our system There was only one oversegmentation In addition, no miss -segmentation was detected The over -segmentation ... Nakazawa, and K Ikeuchi, “Rhythmic motion analysis using motion capture and musical information,” in Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent...
... Journal on Wireless Communications and Networking detection (MSDD) Previous research has demonstrated that when there is only a single channel, that is, only one transmit antenna and one receive ... comparison (conventional ST-DD, selectiondiversity EM -based receiver, MRC); N = 16 18 20 22 EM-10 Coherent (diff enc.) Figure 4: BER comparison (conventional ST-DD, selectiondiversity EM -based receiver, ... estimation and sequence detection, are described in Section The bit error performance of the proposed receiver is given in Section 4, while conclusions of this investigation are made in Section 2.1...
... modeling region formation in imagesegmentation For our application, the only nonzero potentials of the MLL are assured to be those that correspond to one -and two-pixel cliques These cliques belong to ... binary classifications (a) (b) Figure 9: (a) Segmentation given K = and (b) segmentation given K = (a) (b) Figure 10: SPOT5 imagesegmentation given K = CONCLUSIONS The usage of only pairwise in ... questions cause poor quality segmentation or increase the computation time As the segmentation process is a basic step followed by other image analyses such as compression and interpretation, an...
... DNA into Coding and Noncoding Regions 83 Table 1: Distribution of stop codons along phases for coding and noncoding DNA regions DNA sequence Sequence length [bp] No stop codons [%] one 40 40 80 ... codons in three phases Figure 1: Distribution of stop codons along three phases in noncoding DNA regions Figure 2: Distribution of stop codons along three phases in coding DNA regions The segmentation ... composed of two randomly chosen regions from bacterium Rickettsia prowazekii The first region of 1016 bp belongs to a coding region and the second one of 1151 bp be- longs to a noncoding region Figure...
... the goodput and the second constituted of the LR and the throughput of a conformant TCP (transport control protocol) connection under similar loss and round-trip time (RTT) conditions We show ... variables: the first one constituted of the LR and the goodput (cf Section 4.1) and the second constituted of the LR and a TCP-compatible bandwidth share measure (cf Section 4.2) Both LR and bandwidth characteristics ... class during time In a stationary context, the classification would converge to a stable distribution This stationary distribution will be a function of the spatial as well as the temporal dependencies...