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» Face Detection and Recognition using Hidden Markov Models
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ICIP
2002
IEEE
15 years 2 months ago
Panoramic capturing and recognition of human activity
This paper presents a unified approach to human activity capturing and recognition. It targets applications such as a speaker walking, turning around, sitting and getting up from ...
Xinding Sun, B. S. Manjunath
ICCV
2005
IEEE
15 years 3 months ago
Fast Texture-Based Tracking and Delineation Using Texture Entropy
We propose a fast texture-segmentation approach to the problem of 2-D and 3–D model-based contour tracking, which is suitable for real-time or interactive applications. Our appr...
Ali Shahrokni, Tom Drummond, Pascal Fua
ICASSP
2011
IEEE
14 years 1 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
COLT
1994
Springer
15 years 1 months ago
Learning Probabilistic Automata with Variable Memory Length
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
Dana Ron, Yoram Singer, Naftali Tishby
ICASSP
2009
IEEE
15 years 4 months ago
Modeling and tracking of faces in real-life illumination conditions
In this paper, we address the problem of face tracking across illumination changes and occlusions. The method is based on leveraging the strengths of both Adaboost to deal with cl...
Rahul Thota, Archana Kalyansundar, Amit Kale