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ICASSP
2011
IEEE
14 years 9 months ago
A metric approach toward point process divergence
Estimating divergence between two point processes, i.e. probability laws on the space of spike trains, is an essential tool in many computational neuroscience applications, such a...
Sohan Seth, Austin J. Brockmeier, José Carl...
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
16 years 6 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
ICRA
2008
IEEE
191views Robotics» more  ICRA 2008»
16 years 12 days ago
Combining automated on-line segmentation and incremental clustering for whole body motions
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
ECBS
2006
IEEE
126views Hardware» more  ECBS 2006»
16 years 1 days ago
Experiments and Investigations for the Personal High Performance Computing (PHPC) built on top of the 64-bit processing and clus
The motivation and objective for this paper is to demonstrate “Personal High Performance Computing (PHPC)”, which requires only a smaller number of computers, resources and sp...
Victor Chang
ICPP
2005
IEEE
15 years 11 months ago
Push-Pull: Guided Search DAG Scheduling for Heterogeneous Clusters
Consider a heterogeneous cluster system, consisting of processors with varying processing capabilities and network links with varying bandwidths. Given a DAG application to be sch...
Sang Cheol Kim, Sunggu Lee