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» Using Problems to Learn Service-Oriented Computing
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CVPR
2006
IEEE
15 years 11 months ago
Learning Exemplar-Based Categorization for the Detection of Multi-View Multi-Pose Objects
This paper proposes a novel approach for multi-view multi-pose object detection using discriminative shapebased exemplars. The key idea underlying this method is motivated by nume...
Ying Shan, Feng Han, Harpreet S. Sawhney, Rakesh K...
ICAART
2010
INSTICC
16 years 2 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis
155
Voted
FDG
2009
ACM
15 years 9 months ago
Can middle-schoolers use Storytelling Alice to make games?: results of a pilot study
In this paper we share experiences from two 2-week summer courses for middle-school students in game programming using Storytelling Alice (SA). The students spent 20 hours learnin...
Linda L. Werner, Jill Denner, Michelle Bliesner, P...
ICPR
2008
IEEE
16 years 6 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
PRL
2011
14 years 7 months ago
A Bayes-true data generator for evaluation of supervised and unsupervised learning methods
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...