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» Learning to rank with multiple objective functions
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EMMCVPR
2011
Springer
13 years 11 months ago
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study
The recently proposed ImageNet dataset consists of several million images, each annotated with a single object category. However, these annotations may be imperfect, in the sense t...
Julian John McAuley, Arnau Ramisa, Tibério ...
SIGIR
2008
ACM
14 years 11 months ago
Novelty and diversity in information retrieval evaluation
Evaluation measures act as objective functions to be optimized by information retrieval systems. Such objective functions must accurately reflect user requirements, particularly w...
Charles L. A. Clarke, Maheedhar Kolla, Gordon V. C...
FGR
2008
IEEE
231views Biometrics» more  FGR 2008»
15 years 6 months ago
Personalized facial attractiveness prediction
We present an approach to learning the personal preferences of individual users directly from example images. The target application is computer assisted search of partners in onl...
Jacob Whitehill, Javier R. Movellan
ICASSP
2011
IEEE
14 years 3 months ago
Increasing discriminative capability on MAP-based mapping function estimation for acoustic model adaptation
In this study, we propose increasing discriminative power on the maximum a posteriori (MAP)-based mapping function estimation for acoustic model adaptation. Based on the effective...
Yu Tsao, Ryosuke Isotani, Hisashi Kawai, Satoshi N...
CVPR
2009
IEEE
15 years 6 months ago
Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition
While video-based activity analysis and recognition has received much attention, existing body of work mostly deals with single object/person case. Coordinated multi-object activi...
Ruonan Li, Rama Chellappa, Shaohua Kevin Zhou