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CVIU
2011
14 years 6 months ago
Graph-based quadratic optimization: A fast evolutionary approach
Quadratic optimization lies at the very heart of many structural pattern recognition and computer vision problems, such as graph matching, object recognition, image segmentation, ...
Samuel Rota Bulò, Marcello Pelillo, Immanue...
CVPR
2007
IEEE
16 years 4 months ago
Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
Pablo Arias, Gregory Randall, Guillermo Sapiro
115
Voted
KDD
2003
ACM
195views Data Mining» more  KDD 2003»
16 years 2 months ago
Visualizing changes in the structure of data for exploratory feature selection
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
Elias Pampalk, Werner Goebl, Gerhard Widmer
MIR
2006
ACM
189views Multimedia» more  MIR 2006»
15 years 8 months ago
Dynamic storyboards for video content summarization
We propose an innovative, general purpose, approach to the selection and hierarchical representation of key frames of a video sequence for video summarization. In the first stage ...
Gianluigi Ciocca, Raimondo Schettini
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
15 years 7 months ago
Incorporating prior knowledge with weighted margin support vector machines
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Xiaoyun Wu, Rohini K. Srihari