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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
FDBS
2001
108views more  FDBS 2001»
13 years 8 months ago
Combining a Formal with an Example-driven Approach for Data Integration
Integrating data sources is a general problem in many scenarios. The main problem is the heterogeneity between data sources which were created and developed separately. In the lit...
Ingolf Geist, Kai-Uwe Sattler, Ingo Schmitt
ITS
2004
Springer
124views Multimedia» more  ITS 2004»
14 years 25 days ago
Combining Competing Language Understanding Approaches in an Intelligent Tutoring System
When implementing a tutoring system that attempts a deep understanding of students’ natural language explanations, there are three basic approaches to choose between; symbolic, i...
Pamela W. Jordan, Maxim Makatchev, Kurt VanLehn
DAGM
2009
Springer
13 years 5 months ago
Combined GKLT Feature Tracking and Reconstruction for Next Best View Planning
Abstract. Guided Kanade-Lucas-Tomasi (GKLT) tracking is a suitable way to incorporate knowledge about camera parameters into the standard KLT tracking approach for feature tracking...
Michael Trummer, Christoph Munkelt, Joachim Denzle...
ICASSP
2011
IEEE
12 years 11 months ago
Hybrid approach for multichannel source separation combining time-frequency mask with multi-channel Wiener filter
This paper discusses a hybrid approach for the multi-channel source separation, where both a time-frequency (t-f) mask and a multichannel Wiener filter (WF) are utilized. T-f mas...
Shoko Araki, Tomohiro Nakatani