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ECCV
2010
Springer
15 years 3 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
IEEECIT
2010
IEEE
15 years 1 months ago
The Research on Teaching Method of Basics Course of Computer based on Cluster Analysis
Due to the difference between rural and urban and regional disparity of computer basic education produced at their middle school period, computer application level of the freshmen ...
ZhiXin Tie, Rong Jin, Hong Zhuang, Zhaoqing Wang
FQAS
2006
Springer
92views Database» more  FQAS 2006»
15 years 7 months ago
Multi-module Image Classification System
In this paper, we propose an image classification system employing multiple modules. The proposed system hierarchically categorizes given sports images into one of the predefined s...
Wonil Kim, Sangyoon Oh, Sanggil Kang, Dongkyun Kim
APSCC
2008
IEEE
15 years 9 months ago
Integration and Implementation of Secured IP Based Surveillance Networks
— This paper presents a method of integration and implementation of transmitting video and audio data from multiple Internet Protocol (IP) surveillance cameras in a wireless sens...
Charles C. Castello, Jeffrey Fan, Te-Shun Chou, Ho...
BMCBI
2005
167views more  BMCBI 2005»
15 years 3 months ago
Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
Background: The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer...
Patrick Warnat, Roland Eils, Benedikt Brors