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» Evaluating the Robustness of Learning from Implicit Feedback
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Publication
1301views
14 years 7 months ago
Markovian Tracking-by-Detection from a Single, Uncalibrated Camera
We present an algorithm for multi-person tracking-bydetection in a particle filtering framework. To address the unreliability of current state-of-the-art object detectors, our a...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
ICASSP
2011
IEEE
12 years 11 months ago
Learning vocal tract variables with multi-task kernels
The problem of acoustic-to-articulatory speech inversion continues to be a challenging research problem which significantly impacts automatic speech recognition robustness and ac...
Hachem Kadri, Emmanuel Duflos, Philippe Preux
ICCV
2007
IEEE
14 years 9 months ago
Enabling Users to Guide the Design of Robust Model Fitting Algorithms
Model-based image interpretation extracts high-level information from images using a priori knowledge about the object of interest. The computational challenge in model fitting is...
Matthias Wimmer, Freek Stulp, Bernd Radig
GROUP
2009
ACM
14 years 2 months ago
Two peers are better than one: aggregating peer reviews for computing assignments is surprisingly accurate
Scientific peer review, open source software development, wikis, and other domains use distributed review to improve quality of created content by providing feedback to the work...
Ken Reily, Pam Ludford Finnerty, Loren G. Terveen
INFOCOM
2008
IEEE
14 years 2 months ago
Dynamic Bandwidth Request-Allocation Algorithm for Real-Time Services in IEEE 802.16 Broadband Wireless Access Networks
—The emerging broadband wireless access (BWA) technology based on IEEE 802.16 is one of the most promising solutions to provide ubiquitous wireless access to the broadband servic...
Eun-Chan Park, Hwangnam Kim, Jae-Young Kim, Han Se...