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» Unsupervised Learning of Invariant Features Using Video
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ECCV
2008
Springer
13 years 10 months ago
Multi-thread Parsing for Recognizing Complex Events in Videos
This paper presents a probabilistic grammar approach to the recognition of complex events in videos. Firstly, based on the original motion features, a rule induction algorithm is a...
Zhang Zhang, Kaiqi Huang, Tieniu Tan
ICPR
2008
IEEE
14 years 3 months ago
Finite element modeling of facial deformation in videos for computing strain pattern
We present a finite element modeling based approach to compute strain patterns caused by facial deformation during expressions in videos. A sparse motion field computed through ...
Vasant Manohar, Matthew Shreve, Dmitry B. Goldgof,...
PAMI
2010
146views more  PAMI 2010»
13 years 3 months ago
A Hierarchical Visual Model for Video Object Summarization
We propose a novel method for removing irrelevant frames from a video given user-provided frame-level labeling for a very small number of frames. We first hypothesize a number of w...
David Liu, Gang Hua, Tsuhan Chen
SDM
2010
SIAM
259views Data Mining» more  SDM 2010»
13 years 10 months ago
Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning
We describe a novel semi-supervised method called WordCodebook Learning (WCL), and apply it to the task of bionamed entity recognition (bioNER). Typical bioNER systems can be seen...
Pavel P. Kuksa, Yanjun Qi
KES
2004
Springer
14 years 2 months ago
Analyzing the Temporal Sequences for Text Categorization
– This paper describes a text categorization approach that is based on a combination of a newly designed text representation with a kNN classifier. The new text document represen...
Xiao Luo, A. Nur Zincir-Heywood