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138
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IDA
2010
Springer
15 years 2 months ago
Multi-dimensional data construction method with its application to learning from small-sample-sets
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
Hsiao-Fan Wang, Chun-Jung Huang
111
Voted
INFORMATICALT
2010
110views more  INFORMATICALT 2010»
15 years 2 months ago
Exemplar-Based Image Completion Model Employing PDE Corrections
To suitably complete an image without seams, block effects, and artifacts, a novel exemplar-based image completion model employing partial differential equation (PDE) is proposed. ...
Jiying Wu, Qiuqi Ruan, GaoYun An
115
Voted
JAIR
2010
153views more  JAIR 2010»
15 years 2 months ago
Algorithms for Closed Under Rational Behavior (CURB) Sets
We provide a series of algorithms demonstrating that solutions according to the fundamental game-theoretic solution concept of closed under rational behavior (CURB) sets in two-pl...
Michael Benisch, George B. Davis, Tuomas Sandholm
96
Voted
MICCAI
2010
Springer
15 years 2 months ago
Automatic Detection and Segmentation of Axillary Lymph Nodes
Lymph node detection and measurement is a difficult and important part of cancer treatment. In this paper we present a robust and effective learning-based method for the automatic...
Adrian Barbu, Michael Sühling, Xun Xu, David ...
134
Voted
SADM
2010
123views more  SADM 2010»
15 years 2 months ago
Discriminative frequent subgraph mining with optimality guarantees
The goal of frequent subgraph mining is to detect subgraphs that frequently occur in a dataset of graphs. In classification settings, one is often interested in discovering discr...
Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei H...