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NIPS
1998
13 years 9 months ago
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
Michael S. Lewicki, Terrence J. Sejnowski
ICB
2009
Springer
255views Biometrics» more  ICB 2009»
13 years 5 months ago
Automatic Partial Face Alignment in NIR Video Sequences
Face recognition with partial face images is an important problem in face biometrics. The necessity can arise in not so constrained environments such as in surveillance video, or p...
Jimei Yang, ShengCai Liao, Stan Z. Li
PAMI
2010
249views more  PAMI 2010»
13 years 6 months ago
A Dynamic Texture-Based Approach to Recognition of Facial Actions and Their Temporal Models
—In this work we propose a dynamic-texture-based approach to the recognition of facial Action Units (AUs, atomic facial gestures) and their temporal models (i.e., sequences of te...
Sander Koelstra, Maja Pantic, Ioannis Patras
PREMI
2005
Springer
14 years 1 months ago
Pattern Recognition in Video
Images constitute data that lives in a very high dimensional space, typically of the order of hundred thousand dimensions. Drawing inferences from data of such high dimensions soon...
Rama Chellappa, Ashok Veeraraghavan, Gaurav Aggarw...
ICCV
2011
IEEE
12 years 7 months ago
Parsing Video Events with Goal inference and Intent Prediction
In this paper, we present an event parsing algorithm based on Stochastic Context Sensitive Grammar (SCSG) for understanding events, inferring the goal of agents, and predicting th...
Mingtao Pei, School of Computer Science, Yunde Jia...