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MMM
2011
Springer
251views Multimedia» more  MMM 2011»
12 years 9 months ago
Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval
Abstract. Efficient nearest neighbor (NN) search techniques for highdimensional data are crucial to content-based image retrieval (CBIR). Traditional data structures (e.g., kd-tree...
Pengcheng Wu, Steven C. H. Hoi, Duc Dung Nguyen, Y...
TSE
2010
140views more  TSE 2010»
13 years 4 months ago
Learning a Metric for Code Readability
—In this paper, we explore the concept of code readability and investigate its relation to software quality. With data collected from 120 human annotators, we derive associations...
Raymond P. L. Buse, Westley Weimer
KDD
2012
ACM
177views Data Mining» more  KDD 2012»
11 years 8 months ago
Random forests for metric learning with implicit pairwise position dependence
Caiming Xiong, David Johnson, Ran Xu, Jason J. Cor...
JMLR
2010
189views more  JMLR 2010»
13 years 17 days ago
Adaptive Step-size Policy Gradients with Average Reward Metric
In this paper, we propose a novel adaptive step-size approach for policy gradient reinforcement learning. A new metric is defined for policy gradients that measures the effect of ...
Takamitsu Matsubara, Tetsuro Morimura, Jun Morimot...