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ICPR
2010
IEEE
15 years 11 days ago
Fast Training of Object Detection Using Stochastic Gradient Descent
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Rob Wijnhoven, Peter H. N. De With
ICPR
2004
IEEE
15 years 11 months ago
Relaxation Labeling Processes for Protein Secondary Structure Prediction
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Giacomo Colle, Marcello Pelillo
EUROGP
2004
Springer
145views Optimization» more  EUROGP 2004»
15 years 3 months ago
Toward an Alternative Comparison between Different Genetic Programming Systems
In this paper, we use multi-objective techniques to compare different genetic programming systems, permitting our comparison to concentrate on the effect of representation and sepa...
Nguyen Xuan Hoai, Robert I. McKay, Daryl Essam, Hu...
CVIU
2006
168views more  CVIU 2006»
14 years 10 months ago
Fitting conics to paracatadioptric projections of lines
The paracatadioptric camera is one of the most popular panoramic systems currently available in the market. It provides a wide field of view by combining a parabolic shaped mirror...
João P. Barreto, Helder Araújo
AIPS
2010
15 years 8 days ago
The More, the Merrier: Combining Heuristic Estimators for Satisficing Planning
The problem of effectively combining multiple heuristic estimators has been studied extensively in the context of optimal planning, but not in the context of satisficing planning....
Gabriele Röger, Malte Helmert