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» Learning Generic Prior Models for Visual Computation
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CSFW
2011
IEEE
13 years 9 months ago
Regret Minimizing Audits: A Learning-Theoretic Basis for Privacy Protection
Abstract—Audit mechanisms are essential for privacy protection in permissive access control regimes, such as in hospitals where denying legitimate access requests can adversely a...
Jeremiah Blocki, Nicolas Christin, Anupam Datta, A...
ECCV
2010
Springer
15 years 3 months ago
Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding
We address the problem of understanding an indoor scene from a single image in terms of recovering the layouts of the faces (floor, ceiling, walls) and furniture. A major challeng...
CHI
2002
ACM
15 years 10 months ago
WebQuests: changing the way we teach online
This paper introduces WebQuests as potential teaching tools for HCI and software design educators. Based on our daylong observations of a high-school class, we believe that WebQue...
Brenda Hopkins-Moore, Susan Fowler
NIPS
2007
14 years 11 months ago
Predictive Matrix-Variate t Models
It is becoming increasingly important to learn from a partially-observed random matrix and predict its missing elements. We assume that the entire matrix is a single sample drawn ...
Shenghuo Zhu, Kai Yu, Yihong Gong
VISUALIZATION
2005
IEEE
15 years 3 months ago
Opening the Black Box - Data Driven Visualization of Neural Network
Arti cial neural networks are computer software or hardware models inspired by the structure and behavior of neurons in the human nervous system. As a powerful learning tool, incr...
Fan-Yin Tzeng, Kwan-Liu Ma