object recognition using shape contexts

Ngày tải lên: 31/12/2014, 05:35

Ngày tải lên: 20/06/2014, 21:20

... partial credit should be given. When there are more than one objects for the same word (e.g., chairs), any line drawn to the corresponding objects will be treated as correct. Specifications Supplement ã ... Consist of 12 to 20 different words. ã Be scattered around the picture but not too far from the objects. ã Be scattered randomly, so that the directions of the lines, when drawn by the students, ... same way, please find all the words that you know and draw a line to match them with the right object in the picture. Make sure that the ends of your lines touch the words and the things in...

Ngày tải lên: 06/09/2013, 11:10

... to object j and object topic i, while n ki is the number of patch k as- signed to object topic i. H is the number of object topics, which is set to some known, constant value. V O is the object codebook ... generate an object image. Unlike the scene, there could be more than one objects in an image. We use K to denote the number of objects in a given image. There is a total of O classes of objects for ... and object recognition components, it is nat- ural for us to use a generative approach. Our object model is adapted from the bag of words models that have recently shown much robustness in object...

Ngày tải lên: 19/02/2014, 18:20

... Results of Speech Recognition: We used 4806 recognition results including errors, from the output of speech recognition (Masataki et al., 96; Shimizu et al., 96) experiment using an ATR spoken ... Dialogue Speech Recognition using Cross-word Context Constrained Word Graphs. ICASSP 96, pp. 145-148, 1996. Y. Wakita et al., 97. Correct parts extraction from speech recognition results using semantic ... improves the understanding of the recognition results by7%. (3) It has very little influence on correct recognition results. (4) It is more applicable for a recognition result with a few errors...

Ngày tải lên: 20/02/2014, 18:20

... images. Pattern Recognition, 43(5):1814– 1825. [Vidal et al.2006] E. Vidal, F. Casacuberta, L. Rodr ´ ıguez, J. Civera, and C. Mart ´ ınez. 2006. Computer-assisted translation using speech recognition. ... Interna- tional Conference on Pattern Recognition, pages 29– 33. [Koehn and Haddow2009] P. Koehn and B. Haddow. 2009. Interactive assistance to human translators using statistical machine translation ... Gadea, and Enrique Vidal. 2007. On-line handwrit- ing recognition system for tamil handwritten charac- ters. In 3rd Iberian Conference on Pattern Recognition and Image Analysis, pages 370–377. Girona...

Ngày tải lên: 07/03/2014, 22:20

... Workshop, pages 27–35, Suntec, Singapore, 4 August 2009. c 2009 ACL and AFNLP Paraphrase Recognition Using Machine Learning to Combine Similarity Measures Prodromos Malakasiotis Department of ... relation holds; the system locates in a document collec- tion (or the entire Web) contexts were the seeds cooccur, and uses the contexts as patterns that can express the relation; the patterns are then ... similarity in [-1, 1]. 31 P. Malakasiotis and I. Androutsopoulos. 2007. Learn- ing textual entailment using svms and string similar- ity measures. In Proceedings of the ACL-PASCAL Workshop on Textual...

Ngày tải lên: 08/03/2014, 01:20

... closest object is determined by a RNN. For given object i and object j, we can define that there is a RNN relationship between i and j when the closest object of i is object j and the closest object ... extracting terms using a dictionary hierarchy. Our method produces relatively good results for this task. Introduction In recent years, statistical approaches on ATR (Automatic Term Recognition) ... hardship on constructing an electronic dictionary was major obstacles for using an electronic technical dictionary in term recognition, the increasing development of tools for building electronic...

Ngày tải lên: 08/03/2014, 05:20

... system still has some room for performance improvement. This may be because of Named Entity Recognition using an HMM-based Chunk Tagger GuoDong Zhou Jian Su Laboratories for Information Technology ... shared tasks, as shown in Table 6, and then for the impact of training data size on performance using MUC-7 training data. For each experiment, we have the MUC dry-run data as the held-out development ... held-out test data. For both MUC-6 and MUC-7 NE tasks, Table 7 shows the performance of our system using MUC evaluation while Figure 1 gives the comparisons of our system with others. Here, the...

Ngày tải lên: 17/03/2014, 08:20

... method (using the full Wikipedia trigram model) and the knowledge- based method (using the ESA-Wiktionary related- ness measure) in parallel and then combined the resulting detections using two ... convicts were often chained up in rotting old ships.” the obvious error 5 Using a revision dump from April 5, 2011. 6 Using a revision dump from August 13, 2010. 7 The most efficient and precise ... measure (‘Best-Single’), we observe that precision can be significantly improved using the ‘Union’ strategy, while recall is only moderately improved using the ‘Intersect’ strategy. This means that (i) a large subset...

Ngày tải lên: 17/03/2014, 22:20

... learned using a MAP estimation technique. In [9], Pentney et al recognized human activities based on objects used. The objects were RFID tagged and identified using RFID readers worn by the users (object- use ... for visual event recognition in a number of works. In [4], Rota et al presented an ele- gant treatment for representing activities using declarative models. Recognition was performed effectively using a ... p(E = true). Event Modeling and Recognition using Markov Logic Networks 3 knowledge. A continuous bi-lattice was used in [6] for human detection. Here, instead of using a multi-valued logic, we...

Ngày tải lên: 23/03/2014, 13:20

... look at performance using four sets of fea- tures: (i) Monolingual Wiki-tagger based, using only the features in Group 1 (MONO); (ii) Bilingual label match and Wiki-tagger based, using features in ... than the other. The other is that the same information might be ex- pressed using a named entity in one language, and using a non-entity phrase in the other language (e.g. “He is from Bulgaria” ... factored estimation: using English to parse Korean. In EMNLP. Jason R. Smith, Chris Quirk, and Kristina Toutanova. 2010. Extracting parallel sentences from compara- ble corpora using document level...

Ngày tải lên: 23/03/2014, 14:20

... Sweden, 11-16 July 2010. c 2010 Association for Computational Linguistics Arabic Named Entity Recognition: Using Features Extracted from Noisy Data Yassine Benajiba 1 Imed Zitouni 2 Mona Diab 1 Paolo ... accurate Named Entity Recognition (NER) system for languages with complex morphology is a challeng- ing task. In this paper, we present research that explores the feature space using both gold and ... extracted using highly accurate automatic Arabic POS-taggers. BASE employs a multi-classifier approach where each classifier is tagging a NE class separately. The feature selection is performed by using...

Ngày tải lên: 23/03/2014, 16:20

... significant recognition advantage other than depth and color information. Therefore, instead of directly doing human parts recognition using depth and color images, we do skeleton recognition ... Table 3. 10 2. Related work 2.1Human body parts recognition using Microsoft Kinect The approach of using RGB images or video for human detection and recognition faces challenging problems due to ... gesture recognition. 26 [6] Fan Guo, Zixing Cai, Jin Tang, “Chinese Traffic Police Gesture Recognition in Complex Scene”, TrustCom, 2011 [7] J. Charles and M. Everingham, “Learning shape models...

Ngày tải lên: 12/04/2014, 15:40

Ngày tải lên: 24/04/2014, 12:35

Ngày tải lên: 24/04/2014, 12:36

... recognition using time–delay neural netwoks. IEEE transactions on Acoustics, Speech and Signal Pro– cessing, 37:328–339, 1989. [12] T. Watanabe and M. Yachida. Real–time gesture recognition using ... back–propagationalgorithm for tem– poral pattern recognition. Complex Systems, 3:349–381, 1989. [8] K. Murakami and H. Taguchi. Gesture recognition using recurrent neural networks. In Conference ... 1986. [10] A. Starner and T. Pentland. Visual recognition of American Sign Language using Hidden Markov Models. In Int. Conf. on Automatic Face and GestureRecognition, page 189–194, 1995. [11] A....

Ngày tải lên: 24/04/2014, 12:54

Ngày tải lên: 24/04/2014, 12:57

Ngày tải lên: 24/04/2014, 13:20

Ngày tải lên: 24/04/2014, 13:29