358 search results - page 46 / 72 » Rank Matrix Factorisation |
103
Voted
CORR
2007
Springer
14 years 11 months ago
2007
Springer
The paper introduces a novel iterative method that assigns a reputation to n + m items: n raters and m objects. Each rater evaluates a subset of objects leading to a n × m rating...
115
Voted
GECCO
2009
Springer
14 years 8 months ago
2009
Springer
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
91
Voted
CIKM
2011
Springer
13 years 11 months ago
2011
Springer
Many large-scale Web applications that require ranked top-k retrieval are implemented using inverted indices. An inverted index represents a sparse term-document matrix, where non...
97
Voted
IVC
2007
14 years 10 months ago
2007
Establishing the correct correspondence between features in an image set remains a challenging problem amongst computer vision researchers. In fact, the combinatorial nature of fe...
ECCV
2006
Springer
16 years 24 days ago
2006
Springer
We address the problem of segmenting an image sequence into rigidly moving 3D objects. An elegant solution to this problem is the multibody factorization approach in which the mea...