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MM
2003
ACM
161views Multimedia» more  MM 2003»
15 years 11 months ago
Affective content detection using HMMs
This paper discusses a new technique for detecting affective events using Hidden Markov Models(HMM). To map low level features of video data to high level emotional events, we per...
Hang-Bong Kang
GISCIENCE
2010
Springer
230views GIS» more  GISCIENCE 2010»
15 years 6 months ago
Detecting Change in Snapshot Sequences
Wireless sensor networks are deployed to monitor dynamic geographic phenomena, or objects, over space and time. This paper presents a new spatiotemporal data model for dynamic area...
Mingzheng Shi, Stephan Winter
IJCV
2006
107views more  IJCV 2006»
15 years 6 months ago
Behavioral Priors for Detection and Tracking of Pedestrians in Video Sequences
In this paper we address the problem of detection and tracking of pedestrians in complex scenarios. The inclusion of prior knowledge is more and more crucial in scene analysis to g...
Gianluca Antonini, Santiago Venegas-Martinez, Mich...
ICALT
2006
IEEE
16 years 11 days ago
An Approach for Detecting Learning Styles in Learning Management Systems
Detecting the needs of learners is a challenging but essential task to be able to provide adaptivity. In this paper we present a tool that enables learning management systems (LMS...
Sabine Graf, Kinshuk
EUROGP
2009
Springer
130views Optimization» more  EUROGP 2009»
16 years 27 days ago
One-Class Genetic Programming
One-class classification naturally only provides one-class of exemplars, the target class, from which to construct the classification model. The one-class approach is constructed...
Robert Curry, Malcolm I. Heywood