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CVPR
2007
IEEE
16 years 8 months ago
Learning Kernel Expansions for Image Classification
Kernel machines (e.g. SVM, KLDA) have shown state-ofthe-art performance in several visual classification tasks. The classification performance of kernel machines greatly depends o...
Fernando De la Torre, Oriol Vinyals
CHI
2006
ACM
16 years 7 months ago
Pride and prejudice: learning how chronically ill people think about food
In this paper, we describe a formative study to learn how one chronically ill population thinks about food, mentally organizes food, and interprets consumption-level icons. We fou...
Katie A. Siek, Kay H. Connelly, Yvonne Rogers
PERCOM
2006
ACM
16 years 6 months ago
Seamless Browsing of Visual Contents in Shared Learning Environments
This paper presents a new interaction technique for browsing large visual information bases in a collaborative environment. The ATELIER project deals with learning environments fo...
Marco Loregian, Kresimir Matkovic, Thomas Psik
ICPR
2008
IEEE
16 years 29 days ago
Learning combined similarity measures from user data for image retrieval
Image retrieval has become an interesting and active field due to the increasing necessity of searching and browsing very large image repositories. Images are represented using s...
Miguel Arevalillo-Herráez, Francesc J. Ferr...
IDA
2007
Springer
16 years 20 days ago
Learning to Align: A Statistical Approach
We present a new machine learning approach to the inverse parametric sequence alignment problem: given as training examples a set of correct pairwise global alignments, find the p...
Elisa Ricci, Tijl De Bie, Nello Cristianini