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ICCV
2005
IEEE
14 years 9 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
AIEDU
2008
112views more  AIEDU 2008»
13 years 6 months ago
Be Brief, And They Shall Learn: Generating Concise Language Feedback for a Computer Tutor
To investigate whether more concise Natural Language feedback improves learning, we developed two Natural Language generators (DIAG-NLP1 and DIAG-NLP2), to provide feedback in an I...
Barbara Di Eugenio, Davide Fossati, Susan M. Halle...
CVIU
1999
104views more  CVIU 1999»
13 years 7 months ago
Interactively Matching Hand-Drawings Using Induction
In this paper we consider the task of matching patterns, as occur in hand-drawn symbols and schematic diagrams, by their parts and relationships. Of particular interest for comput...
Adrian R. Pearce, Terry Caelli
VLSID
2009
IEEE
115views VLSI» more  VLSID 2009»
14 years 8 months ago
Efficient Techniques for Directed Test Generation Using Incremental Satisfiability
Functional validation is a major bottleneck in the current SOC design methodology. While specification-based validation techniques have proposed several promising ideas, the time ...
Prabhat Mishra, Mingsong Chen
ICCAD
2002
IEEE
116views Hardware» more  ICCAD 2002»
14 years 4 months ago
Conflict driven techniques for improving deterministic test pattern generation
This work presents several new techniques for enhancing the performance of deterministic test pattern generation for VLSI circuits. The techniques introduced are called dynamic de...
Chen Wang, Sudhakar M. Reddy, Irith Pomeranz, Xiji...