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ICASSP
2011
IEEE
14 years 10 months ago
Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications
Emerging biomedical sensors and stimulators offer unprecedented modalities for delivering therapy and acquiring physiological signals (e.g., deep brain stimulators). Exploiting th...
Kyong-Ho Lee, Sun-Yuan Kung, Naveen Verma
ESEM
2010
ACM
15 years 5 months ago
Strengthening the empirical analysis of the relationship between Linus' Law and software security
Open source software is often considered to be secure because large developer communities can be leveraged to find and fix security vulnerabilities. Eric Raymond states Linus’ L...
Andrew Meneely, Laurie A. Williams
ICASSP
2007
IEEE
16 years 23 days ago
Discriminating Two Types of Noise Sources using Cortical Representation and Dimension Reduction Technique
Content-based audio classification techniques have focused on classifying events that are both semantically and perceptually distinct (such as speech, music, environmental sounds...
Shiva Sundaram, Shrikanth Narayanan
ICASSP
2011
IEEE
14 years 10 months ago
Belief theoretic methods for soft and hard data fusion
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
Thanuka Wickramarathne, Kamal Premaratne, Manohar ...
ICASSP
2008
IEEE
16 years 26 days ago
Temporal selective dereverberation of noisy speech using one microphone
Reverberant speech can be described as sounding distant with noticeable coloration and echo. These detrimental perceptual effects are caused by early and late reflections, respec...
Emanuel A. P. Habets, Nikolay D. Gaubitch, Patrick...