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ICML
2004
IEEE
16 years 1 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
90
Voted
PODS
2006
ACM
107views Database» more  PODS 2006»
16 years 29 days ago
Programmable clustering
We initiate a novel study of clustering problems. Rather than specifying an explicit objective function to optimize, our framework allows the user of clustering algorithm to speci...
Sreenivas Gollapudi, Ravi Kumar, D. Sivakumar
110
Voted
PERCOM
2003
ACM
16 years 13 days ago
Steerable Interfaces for Pervasive Computing Spaces
This paper introduces a new class of interactive interfaces that can be moved around to appear on ordinary objects and surfaces anywhere in a space. By dynamically adapting the fo...
Gopal Pingali, Claudio S. Pinhanez, Anthony Levas,...
96
Voted
CSIE
2009
IEEE
15 years 7 months ago
Discriminative Random Fields for Behavior Modeling
This paper proposed an approach of human behavior modeling based on Discriminative Random Fields. In this model, by introducing the hidden behavior feature functions and time wind...
Tianyu Huang, Chongde Shi, Fengxia Li
ICASSP
2009
IEEE
15 years 7 months ago
Statistical analysis of amplitude modulation in speech signals using an AM-FM model
Several studies have been dedicated to the analysis and modeling of AM–FM modulations in speech and different algorithms have been proposed for the exploitation of modulations i...
Pirros Tsiakoulis, Alexandros Potamianos