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NIPS
2001
13 years 10 months ago
Categorization by Learning and Combining Object Parts
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...
SLP
1989
87views more  SLP 1989»
13 years 10 months ago
Partial Evaluation in Prolog: Some Improvements about Cut
Two main aspects of Partial Evaluation for Prolog programs are considered: treatment of cuts and control of recursion. The analysis about cut is exhaustive: we consider occurrence...
Michele Bugliesi, F. Russo
IJSNET
2007
97views more  IJSNET 2007»
13 years 8 months ago
Stochastic binary sensor networks for noisy environments
— This paper proposes a stochastic framework for detecting anomalies or gathering interesting events in a noisy environment using a sensor network consisting of binary sensors. A...
T. Nguyen, Dong Nguyen, Huaping Liu, Duc A. Tran
ISBI
2008
IEEE
14 years 9 months ago
Monitoring slowly evolving tumors
Change detection is a critical task in the diagnosis of many slowly evolving pathologies. This paper describes an approach that semi-automatically performs this task using longitu...
Ender Konukoglu, William M. Wells III, Séba...
SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
11 years 11 months ago
Density-based Projected Clustering over High Dimensional Data Streams
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...