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JMM2
2006
110views more  JMM2 2006»
13 years 8 months ago
Two-Stage PCA Extracts Spatiotemporal Features for Gait Recognition
We propose a technique for gait recognition from motion capture data based on two successive stages of principal component analysis (PCA) on kinematic data. The first stage of PCA ...
Sandhitsu R. Das, Robert C. Wilson, Maciej T. Laza...
CVPR
2004
IEEE
14 years 10 months ago
Role of Shape and Kinematics in Human Movement Analysis
Human gait and activity analysis from video is presently attracting a lot of attention in the computer vision community. In this paper, we analyze the role of two of the most impo...
Ashok Veeraraghavan, Amit K. Roy Chowdhury, Rama C...
TSD
2009
Springer
14 years 2 months ago
Hybrid Semantic Analysis
— This article is focused on the problem of meaning recognition in spoken utterances. The goal is to find a computer algorithm capable to construct the meaning description of a ...
Miloslav Konopík, Ivan Habernal
PAMI
2006
109views more  PAMI 2006»
13 years 8 months ago
Offline Grammar-Based Recognition of Handwritten Sentences
This paper proposes a sequential coupling of a Hidden Markov Model (HMM) recognizer for offline handwritten English sentences with a probabilistic bottom-up chart parser using Sto...
Matthias Zimmermann, Jean-Cédric Chappelier...
ICPR
2004
IEEE
14 years 9 months ago
Classification Probability Analysis of Principal Component Null Space Analysis
In a previous paper [1], we have presented a new linear classification algorithm, Principal Component Null Space Analysis (PCNSA) which is designed for problems like object recogn...
Namrata Vaswani, Rama Chellappa