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ICML
2006
IEEE
14 years 9 months ago
Hidden process models
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
DAGM
2005
Springer
14 years 2 months ago
Network Snakes-Supported Extraction of Field Boundaries from Imagery
A fully automatic method to extract field boundaries from imagery is described in this paper. The fields are represented together with additional prior knowledge in the form of GIS...
Matthias Butenuth, Christian Heipke
CHI
2006
ACM
14 years 9 months ago
The affective remixer: personalized music arranging
This paper describes a real-time music-arranging system that reacts to immediate affective cues from a listener. Data was collected on the potential of certain musical dimensions ...
Jae-woo Chung, G. Scott Vercoe
ICCV
2011
IEEE
12 years 9 months ago
Discovering Object Instances from Scenes of Daily Living
We propose an approach to identify and segment objects from scenes that a person (or robot) encounters in Activities of Daily Living (ADL). Images collected in those cluttered sce...
Hongwen Kang, Martial Hebert, Takeo Kanade
ICIP
2003
IEEE
14 years 10 months ago
Wavelet-based level set evolution for classification of textured images
We present a supervised classification model based on a variational approach. This model is specifically devoted to textured images. We want to get a partition of an image, compos...
Jean-François Aujol, Gilles Aubert, Laure B...