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» Robustness of the Learning with Errors Assumption
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CVPR
2007
IEEE
14 years 9 months ago
Segmenting Motions of Different Types by Unsupervised Manifold Clustering
We propose a novel algorithm for segmenting multiple motions of different types from point correspondences in multiple affine or perspective views. Since point trajectories associ...
Alvina Goh, René Vidal
PAMI
2011
13 years 2 months ago
Color Constancy Using Natural Image Statistics and Scene Semantics
—Existing color constancy methods are all based on specific assumptions such as the spatial and spectral characteristics of images. As a consequence, no algorithm can be conside...
Arjan Gijsenij, Theo Gevers
IACR
2011
212views more  IACR 2011»
12 years 6 months ago
Fully Homomorphic Encryption without Bootstrapping
We present a radically new approach to fully homomorphic encryption (FHE) that dramatically improves performance and bases security on weaker assumptions. A central conceptual con...
Zvika Brakerski, Craig Gentry, Vinod Vaikuntanatha...
LOGCOM
2008
104views more  LOGCOM 2008»
13 years 7 months ago
Testing the Reasoning for Question Answering Validation
Question Answering (QA) is a task that deserves more collaboration between Natural Language Processing (NLP) and Knowledge Representation (KR) communities, not only to introduce r...
Anselmo Peñas, Álvaro Rodrigo, Valen...
CVPR
2007
IEEE
14 years 9 months ago
Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation
The estimation of head pose angle from face images is an integral component of face recognition systems, human computer interfaces and other human-centered computing applications....
Vineeth Nallure Balasubramanian, Jieping Ye, Sethu...