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ICCV
2007
IEEE
15 years 11 months ago
Embedded Profile Hidden Markov Models for Shape Analysis
An ideal shape model should be both invariant to global transformations and robust to local distortions. In this paper we present a new shape modeling framework that achieves both...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ICIP
2002
IEEE
15 years 11 months ago
Extract highlights from baseball game video with hidden Markov models
In this paper, we describe a statistical method to detect highlights in a baseball game video. The input video is first segmented into scene shots, within which the camera motion ...
Peng Chang, Mei Han, Yihong Gong
ICCSA
2007
Springer
15 years 3 months ago
Crawling the Content Hidden Behind Web Forms
The crawler engines of today cannot reach most of the information contained in the Web. A great amount of valuable information is “hidden” behind the query forms of online data...
Manuel Álvarez, Juan Raposo, Alberto Pan, F...
AAAI
2008
15 years 2 days ago
Hidden Dynamic Probabilistic Models for Labeling Sequence Data
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic models which can capture both internal and external...
Xiaofeng Yu, Wai Lam
DATE
2008
IEEE
136views Hardware» more  DATE 2008»
15 years 4 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu