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» Hierarchical Hidden Markov Models for Information Extraction
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ECCV
2000
Springer
16 years 3 months ago
A Probabilistic Background Model for Tracking
A new probabilistic background model based on a Hidden Markov Model is presented. The hidden states of the model enable discrimination between foreground, background and shadow. Th...
Jens Rittscher, Jien Kato, Sébastien Joga, ...
97
Voted
CCS
2007
ACM
15 years 7 months ago
Keystroke statistical learning model for web authentication
Keystroke typing characteristics is considered as one of the important biometric features that can be used to protect users against malicious attacks. In this paper we propose a s...
Cheng-Huang Jiang, Shiuhpyng Shieh, Jen-Chien Liu
ICIP
2006
IEEE
16 years 3 months ago
Detection of Drivable Corridors for Off-Road Autonomous Navigation
This paper describes a hierarchical Bayesian network used for segmenting desert images and detecting off road drivable corridors for autonomous navigation. Unlike the embedded hid...
Ara V. Nefian, Gary R. Bradski
AAAI
2008
15 years 3 months ago
Extracting Relevant Snippets for Web Navigation
Search engines present fix-length passages from documents ranked by relevance against the query. In this paper, we present and compare novel, language-model based methods for extr...
Qing Li, K. Selçuk Candan, Qi Yan
RAS
2000
187views more  RAS 2000»
15 years 1 months ago
Detection, tracking, and classification of action units in facial expression
Most of the current work on automated facial expression analysis attempt to recognize a small set of prototypic expressions, such as joy and fear. Such prototypic expressions, how...
James Jenn-Jier Lien, Takeo Kanade, Jeffrey F. Coh...