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GenBase: A Complex Analytics Genomics Benchmark
(2013-11-19)
This paper introduces a new benchmark, designed to test database management system (DBMS) performance on a mix of data management tasks (joins, filters, etc.) and complex analytics (regression, singular value decomposition, ...
Quaternionic Representation of the Riesz Pyramid for Video Magnification
(2014-04-26)
Recently, we presented a new image pyramid, called the Riesz pyramid, that uses the Riesz transform to manipulate the phase in non-oriented sub-bands of an image sequence to produce real-time motion-magnified videos. In ...
An Efficient Learning Procedure for Deep Boltzmann Machines
(2010-08-04)
We present a new learning algorithm for Boltzmann Machines that contain many layers of hidden variables. Data-dependent statistics are estimated using a variational approximation that tends to focus on a single mode, and ...
Practical Color-Based Motion Capture
(2010-09-10)
Motion capture systems have been widely used for high quality content creation and virtual reality but are rarely used in consumer applications due to their price and setup cost. In this paper, we propose a motion capture ...
Bayesian perceptual inference in linear Gaussian models
(2010-09-21)
The aim of this paper is to provide perceptual scientists with a quantitative framework for modeling a variety of common perceptual behaviors, and to unify various perceptual inference tasks by exposing their common ...
Submodular Secretary Problem and Extensions
(2010-02-01)
Online auction is an essence of many modern markets, particularly networked markets, in which information about goods, agents, and outcomes is revealed over a period of time, and the agents must make irrevocable decisions ...
Automatic Parallelization With Statistical Accuracy Bounds
(2010-02-10)
Traditional parallelizing compilers are designed to generate parallel programs that produce identical outputs as the original sequential program. The difficulty of performing the program analysis required to satisfy this ...
Hierarchical Task and Motion Planning in the Now
(2010-05-07)
In this paper we outline an approach to the integration of task planning and motion planning that has the following key properties: It is aggressively hierarchical. It makes choices and commits to them in a top-down fashion ...
One-Shot Learning with a Hierarchical Nonparametric Bayesian Model
(2010-10-13)
We develop a hierarchical Bayesian model that learns to learn categories from single training examples. The model transfers acquired knowledge from previously learned categories to a novel category, in the form of a prior ...
Verification of Semantic Commutativity Conditions and Inverse Operations on Linked Data Structures
(2010-12-03)
Commuting operations play a critical role in many parallel computing systems. We present a new technique for verifying commutativity conditions, which are logical formulas that characterize when operations commute. Because ...