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ICCV
2009
IEEE
15 years 1 months ago
Semi-Supervised Random Forests
Random Forests (RFs) have become commonplace in many computer vision applications. Their popularity is mainly driven by their high computational efficiency during both training ...
Christian Leistner, Amir Saffari, Jakob Santner, H...
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
14 years 9 months ago
Structured entity identification and document categorization: two tasks with one joint model
Traditionally, research in identifying structured entities in documents has proceeded independently of document categorization research. In this paper, we observe that these two t...
Indrajit Bhattacharya, Shantanu Godbole, Sachindra...
ICCNMC
2005
Springer
14 years 2 months ago
Improved Thumbprint and Its Application for Intrusion Detection
This paper proposes RTT-thumbprint to traceback intruders, and to detect stepping-stone intrusion; RTT-thumbprint is a sequence of timestamp pairs of a send packet and its correspo...
Jianhua Yang, Shou-Hsuan Stephen Huang
BMCBI
2006
198views more  BMCBI 2006»
13 years 8 months ago
Gene selection and classification of microarray data using random forest
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
Ramón Díaz-Uriarte, Sara Alvarez de ...
AINA
2005
IEEE
14 years 2 months ago
Nodes Localization through Data Fusion in Sensor Network
The Location of nodes in sensor network is an important problem with application in resource allocation, location sensitive browsing, and emergency communications. A key problem i...
Ren C. Luo, Ogst Chen, Liang Chao Tu