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160
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ECAI
2006
Springer
15 years 9 months ago
Shallow Semantic Parsing Based on FrameNet, VerbNet and PropBank
This article describes a semantic parser based on FrameNet semantic roles that uses a broad knowledge base created by interconnecting three major resources: FrameNet, VerbNet and P...
Ana-Maria Giuglea, Alessandro Moschitti
ANNPR
2008
Springer
15 years 7 months ago
Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi
146
Voted
ERSA
2006
147views Hardware» more  ERSA 2006»
15 years 6 months ago
Code Partitioning for Reconfigurable High-Performance Computing: A Case Study
In this case study, various ways to partition a code between the microprocessor and FPGA are examined. Discrete image convolution operation with separable kernel is used as the ca...
Volodymyr V. Kindratenko
135
Voted
NIPS
1998
15 years 6 months ago
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
Michael S. Lewicki, Terrence J. Sejnowski
144
Voted
NIPS
2000
15 years 6 months ago
A Support Vector Method for Clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladi...