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In this paper, we propose a state-dependent tied mixture (SDTM) models with variable codebook size to improve the model robustness for accented p honetic variations while maintaining model discrimina...
In this paper, we present a robust and unsupervised approach for recognition of object categories, RTSI-pLSA, which overcomes the weakness of TSI-pLSA in recognizing rotated objects in images. Our app...
Sign language recognition (SLR) with large vocabulary and signer independency is valuable and is still a big challenge. Signer adaptation is an important solution to signer independent SLR. In this pa...
For broadcast sports video, score information is an effective mid-level representation to facilitate high-level video content analysis. In this paper, we propose a real-time approach to detect score ...
Recently the “bag of words” model becomes popular in the approaches to object recognition. These approaches model an image as a collection of local patches called “visual words”, and recognize object...
This paper proposes a novel simple yet effective generative model based on Local Visual Primitives (LVP) for face modeling and classification. The LVPs,as the pattern of local face region, are learnt ...
Motion analysis in broadcast sports video is a challenging problem especially for player action recognition due to the low resolution of players in the frames.This paper presents a novel approach to r...
Viewpoint variance is one of the inevitable problems in vision based sign language recognition.However, most researchers avoid this problem by assuming a special view, especially the front view. In th...
In this paper, we present a robust and unsupervised approach for recognition of object categories, RTSI-pLSA, which overcomes the weakness of TSI-pLSA in recognizing rotated objects in images. Our app...
Aiming at building a dialectal Chinese speech rec ognizer from a standard Chinese speech recognizer with a small am ount of dialectal Chinese speech, a novel, simple but effective acoustic modeling me...
For the special session on speaker recognition of the 5th International Symposium on Chinese Spoken Language Processing (ISCSLP 2006), the Chinese Corpus Consortium (CCC), the session organizer, deve...
Sign language is the primary modality of communication among deaf and mute society all over the world. This paper proposes a viewpoint independent method for sign recognition. Considering that two seq...
Illumination variation is one of the bottlenecks of face recognition systems. In the past few years, many approaches to coping with illumination variations have been proposed which can be categorized...
Voiceprint Recognition (or Speaker Recognition) is one of the most important branches in speech processing. Its applications have been becoming wider and wider whereas a lot of fundamental and practic...
The Gaussian mixture model-universal background model (GMM-UBM) has been dominant in text-independent speaker recognition tasks. However the conventional GMM-UBM method assumes that each Gaussian mixt...

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