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ICASSP
2011
IEEE
13 years 22 days ago
A hierarchical static-dynamic framework for emotion classification
The goal of emotion classification is to estimate an emotion label, given representative data and discriminative features. Humans are very good at deriving high-level representat...
Emily Mower, Shrikanth Narayanan
CAV
2012
Springer
251views Hardware» more  CAV 2012»
11 years 11 months ago
A Model Checker for Hierarchical Probabilistic Real-Time Systems
Real-life systems are usually hard to control, due to their complicated structures, quantitative time factors and even stochastic behaviors. In this work, we present a model checke...
Songzheng Song, Jun Sun 0001, Yang Liu 0003, Jin S...
TIP
2008
128views more  TIP 2008»
13 years 9 months ago
Wavelet Frame Accelerated Reduced Support Vector Machines
In this paper, a novel method for reducing the runtime complexity of a support vector machine classifier is presented. The new training algorithm is fast and simple. This is achiev...
Matthias Rätsch, Gerd Teschke, Sami Romdhani,...
IUCS
2009
ACM
14 years 3 months ago
Utilizing semantic equivalence classes of Japanese functional expressions in machine translation
This paper applied “Sandglass” machine translation architecture to the task of translating Japanese functional expressions into English. We employ the semantic equivalence cla...
Akiko Sakamoto, Takehito Utsuro, Suguru Matsuyoshi
IPPS
1996
IEEE
14 years 1 months ago
Implementing the Data Diffusion Machine Using Crossbar Routers
The Data Diffusion Machine is a scalable virtual shared memory architecture. A hierarchical network is used to ensure that all data can be located in a time bounded by O(logp), wh...
Henk L. Muller, Paul W. A. Stallard, David H. D. W...