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» On vector autoregressive modeling in space and time
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SIGIR
2006
ACM
13 years 11 months ago
Music structure based vector space retrieval
This paper proposes a novel framework for music content indexing and retrieval. The music structure information, i.e., timing, harmony and music region content, is represented by ...
Namunu Chinthaka Maddage, Haizhou Li, Mohan S. Kan...
ML
2002
ACM
223views Machine Learning» more  ML 2002»
13 years 5 months ago
Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...
Edda Leopold, Jörg Kindermann
GLOBECOM
2010
IEEE
13 years 3 months ago
Packet-Reliability-Based Decode-and-Forward Distributed Space-Time Shift Keying
Motivated by the recent concept of Space-Time Shift Keying (STSK), we propose a novel cooperative STSK scheme, which is capable of achieving a flexible rate-diversity tradeoff, in ...
Shinya Sugiura, Sheng Chen, Lajos Hanzo
VIS
2004
IEEE
146views Visualization» more  VIS 2004»
14 years 7 months ago
Tracking of Vector Field Singularities in Unstructured 3D Time-Dependent Datasets
In this paper, we present an approach for monitoring the positions of vector field singularities in time-dependent datasets. The concept of singularity index is discussed and exte...
Christoph Garth, Xavier Tricoche, Gerik Scheuerman...
NIPS
2003
13 years 7 months ago
Dynamical Modeling with Kernels for Nonlinear Time Series Prediction
We consider the question of predicting nonlinear time series. Kernel Dynamical Modeling (KDM), a new method based on kernels, is proposed as an extension to linear dynamical model...
Liva Ralaivola, Florence d'Alché-Buc