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» Detecting worm variants using machine learning
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ICML
2005
IEEE
16 years 4 months ago
Clustering through ranking on manifolds
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...
Markus Breitenbach, Gregory Z. Grudic
WCRE
2009
IEEE
15 years 10 months ago
Static Detection of Disassembly Errors
—Static disassembly is a crucial first step in reverse engineering executable files, and there is a considerable body of work in reverse-engineering of binaries, as well as are...
Nithya Krishnamoorthy, Saumya K. Debray, Keith Fli...
JMLR
2002
133views more  JMLR 2002»
15 years 3 months ago
Learning Precise Timing with LSTM Recurrent Networks
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
Felix A. Gers, Nicol N. Schraudolph, Jürgen S...
CORR
2004
Springer
195views Education» more  CORR 2004»
15 years 3 months ago
Detecting User Engagement in Everyday Conversations
This paper presents a novel application of speech emotion recognition: estimation of the level of conversational engagement between users of a voice communication system. We begin...
Chen Yu, Paul M. Aoki, Allison Woodruff
CIVR
2006
Springer
121views Image Analysis» more  CIVR 2006»
15 years 7 months ago
Finding Faces in Gray Scale Images Using Locally Linear Embeddings
The problem of face detection remains challenging because faces are non-rigid objects that have a high degree of variability with respect to head rotation, illumination, facial exp...
Samuel Kadoury, Martin D. Levine