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KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 7 months ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil
184
Voted
IPSN
2010
Springer
16 years 2 months ago
Slotted programming for sensor networks
We advocate a novel programming approach we call slotted programming that not only addresses the specific hardware capabilities of sensor nodes, but also facilitates coding throu...
Roland Flury, Roger Wattenhofer
218
Voted
ICIP
2009
IEEE
16 years 2 months ago
A Novel Framework for Imaging Using Compressed Sensing
Recently, there has been growing interest in using compressed sensing to perform imaging. Most of these algorithms capture the image of a scene by taking projections of the imaged ...
Pradeep Sen and Soheil Darabi
DEXAW
2009
IEEE
92views Database» more  DEXAW 2009»
16 years 2 months ago
Enhancing Person Annotation for Personal Photo Management Applications
—This paper addresses a sub-problem of the broad annotation problem, namely “person annotation”, associated with personal digital photo management and investigates approaches...
Saman Hemantha Cooray, Noel E. O'Connor
199
Voted
ICASSP
2009
IEEE
16 years 2 months ago
Posterior features applied to speech recognition tasks with user-defined vocabulary
This paper presents a novel approach for those applications where vocabulary is defined by a set of acoustic samples. In this approach, the acoustic samples are used as reference...
Guillermo Aradilla, Hervé Bourlard, Mathew ...