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ACL
2010
15 years 4 months ago
Learning Better Data Representation Using Inference-Driven Metric Learning
We initiate a study comparing effectiveness of the transformed spaces learned by recently proposed supervised, and semisupervised metric learning algorithms to those generated by ...
Paramveer S. Dhillon, Partha Pratim Talukdar, Koby...
FOCS
2010
IEEE
15 years 4 months ago
Learning Convex Concepts from Gaussian Distributions with PCA
We present a new algorithm for learning a convex set in n-dimensional space given labeled examples drawn from any Gaussian distribution. The complexity of the algorithm is bounded ...
Santosh Vempala
ICIP
2010
IEEE
15 years 4 months ago
Polyconvexification of the multi-label optical flow problem
In this paper the problem of optical flow and occlusion mask estimation is aborded. To that end, we consider a multi-label representation of the optical flow and we define an ener...
Nicolas Papadakis, Antonio Baeza, Pau Gargallo, Vi...
186
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SMA
2010
ACM
171views Solid Modeling» more  SMA 2010»
15 years 7 months ago
Efficient simplex computation for fixture layout design
Designing a fixture layout of an object can be reduced to computing the largest simplex and the resulting simplex is classified using the radius of the largest inscribed ball cent...
Yu Zheng, Ming C. Lin, Dinesh Manocha
TALG
2010
73views more  TALG 2010»
15 years 5 months ago
Discounted deterministic Markov decision processes and discounted all-pairs shortest paths
We present two new algorithms for finding optimal strategies for discounted, infinite-horizon, Deterministic Markov Decision Processes (DMDP). The first one is an adaptation of...
Omid Madani, Mikkel Thorup, Uri Zwick