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» Flame detection in video using hidden Markov models
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79
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MIR
2006
ACM
220views Multimedia» more  MIR 2006»
15 years 3 months ago
Robust scene recognition using language models for scene contexts
We propose a robust scene recognition framework using scene context information for multimedia contents. Multimedia contents consist of scene sequences that are more likely to hap...
Ryoichi Ando, Koichi Shinoda, Sadaoki Furui, Takah...
IPPS
2007
IEEE
15 years 4 months ago
High Performance Database Searching with HMMer on FPGAs
1 Profile Hidden Markov Models (profile HMMs) are used as a popular bioinformatics tool for sensitive database searching, e.g. a set of not annotated protein sequences is compared...
Timothy F. Oliver, Leow Yuan Yeow, Bertil Schmidt
74
Voted
ICMCS
2009
IEEE
115views Multimedia» more  ICMCS 2009»
14 years 7 months ago
A framework to detect and classify activity transitions in low-power applications
Minimizing the number of computations a low-power device makes is important to achieve long battery life. In this paper we present a framework for a low-power device to minimize t...
Jeffrey Boyd, Hari Sundaram
AUSAI
2003
Springer
15 years 2 months ago
Combining Multiple Host-Based Detectors Using Decision Tree
Abstract. As the information technology grows interests in the intrusion detection system (IDS), which detects unauthorized usage, misuse by a local user and modification of impor...
Sang-Jun Han, Sung-Bae Cho
95
Voted
CIVR
2007
Springer
241views Image Analysis» more  CIVR 2007»
15 years 3 months ago
A robust scene recognition system for baseball broadcast using data-driven approach
We propose a robust scene recognition system for baseball broadcast videos. This system is based on the data-driven approach which has been successful in continuous speech recogni...
Ryoichi Ando, Koichi Shinoda, Sadaoki Furui, Takah...