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» Fitting hidden Markov models to psychological data
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ICASSP
2011
IEEE
12 years 11 months ago
Improving acoustic event detection using generalizable visual features and multi-modality modeling
Acoustic event detection (AED) aims to identify both timestamps and types of multiple events and has been found to be very challenging. The cues for these events often times exist...
Po-Sen Huang, Xiaodan Zhuang, Mark Hasegawa-Johnso...
ROMAN
2007
IEEE
127views Robotics» more  ROMAN 2007»
14 years 1 months ago
Incremental on-line hierarchical clustering of whole body motion patterns
Abstract— This paper describes a novel algorithm for autonomous and incremental learning of motion pattern primitives by observation of human motion. Human motion patterns are ed...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
ICDM
2002
IEEE
173views Data Mining» more  ICDM 2002»
14 years 15 days ago
Mining Genes in DNA Using GeneScout
In this paper, we present a new system, called GeneScout, for predicting gene structures in vertebrate genomic DNA. The system contains specially designed hidden Markov models (HM...
Michael M. Yin, Jason Tsong-Li Wang
ICC
2009
IEEE
125views Communications» more  ICC 2009»
13 years 5 months ago
HMM-Web: A Framework for the Detection of Attacks Against Web Applications
Nowadays, the web-based architecture is the most frequently used for a wide range of internet services, as it allows to easily access and manage information and software on remote ...
Igino Corona, Davide Ariu, Giorgio Giacinto
ISM
2008
IEEE
136views Multimedia» more  ISM 2008»
14 years 1 months ago
Multimodal Speaker Segmentation in Presence of Overlapped Speech Segments
We propose a multimodal speaker segmentation algorithm with two main contributions: First, we suggest a hidden Markov model architecture that performs fusion of the three modaliti...
Viktor Rozgic, Kyu Jeong Han, Panayiotis G. Georgi...