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» Japanese Word Segmentation by Hidden Markov Model
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IICAI
2003
15 years 7 months ago
TANSEN: A System for Automatic Raga Identification
Computational Musicology is a new and emerging field which draws heavily from Computer Science, particularly Artificial Intelligence. Western Music has been under the gaze of thi...
Gaurav Pandey, Chaitanya Mishra, Paul Ipe
CVPR
2010
IEEE
15 years 11 months ago
Towards Semantic Embedding in Visual Vocabulary
Visual vocabulary serves as a fundamental component in many computer vision tasks, such as object recognition, visual search, and scene modeling. While state-of-the-art approaches...
R.-R. Ji, Hongxun Yao, Xiaoshuai Sun
ECCV
2002
Springer
16 years 7 months ago
Factorial Markov Random Fields
In this paper we propose an extension to the standard Markov Random Field (MRF) model in order to handle layers. Our extension, which we call a Factorial MRF (FMRF), is analogous t...
Junhwan Kim, Ramin Zabih
WACV
2005
IEEE
15 years 11 months ago
Automatic Recognition of Colloquial Australian Sign Language
This paper presents an automatic Australian sign language (Auslan) recognition system, which tracks multiple target objects (the face and hands) throughout an image sequence and e...
Eun-Jung Holden, Gareth Lee, Robyn A. Owens
ICASSP
2010
IEEE
15 years 6 months ago
Partial sequence matching using an Unbounded Dynamic Time Warping algorithm
Before the advent of Hidden Markov Models(HMM)-based speech recognition, many speech applications were built using pattern matching algorithms like the Dynamic Time Warping (DTW) ...
Xavier Anguera, Robert Macrae, Nuria Oliver