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» Modeling Memory for Melodies
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ICMCS
2009
IEEE
97views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Some new directions in graph-based semi-supervised learning
In this position paper, we first review the state-of-the-art in graph-based semi-supervised learning, and point out three limitations that are particularly relevant to multimedia ...
Xiaojin Zhu, Andrew B. Goldberg, Tushar Khot
CACM
2010
121views more  CACM 2010»
14 years 7 months ago
Goldilocks: a race-aware Java runtime
We present Goldilocks, a Java runtime that monitors program executions and throws a DataRaceException when a data race is about to occur. This prevents racy accesses from taking p...
Tayfun Elmas, Shaz Qadeer, Serdar Tasiran

Publication
145views
14 years 6 months ago
Wireless Client Puzzles in IEEE 802.11 Networks: Security by Wireless
Resource-depletion attacks against IEEE 802.11 access points (APs) are commonly executed by flooding APs with fake authentication requests. Such attacks may exhaust an AP’s memor...
Ivan Martinovic, Frank A. Zdarsky, Matthias Wilhel...
TCSV
2011
14 years 4 months ago
Mixture of Gaussians-Based Background Subtraction for Bayer-Pattern Image Sequences
This paper proposes a background subtraction method for Bayer-pattern image sequences. The proposed method models the background in a Bayer-pattern domain using a mixture of Gauss...
Jae Kyu Suhr, Ho Gi Jung, Gen Li, Jaihie Kim
JCIT
2010
148views more  JCIT 2010»
14 years 4 months ago
Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
Mohammed J. Islam, Q. M. Jonathan Wu, Majid Ahmadi...