PAMI
2012
12 years 1 months ago
2012
—The problem of automatic and optimal design of embedded object detector cascades is considered. Two main challenges are identified: optimization of the cascade configuration and...
INFOCOM
2012
IEEE
12 years 1 months ago
2012
IEEE
Abstract—In this paper, we propose to leverage cloud computing to tame resource-poor mobile devices. Specifically, mobile applications can be executed in the mobile device (know...
SIGMOD
2012
ACM
12 years 1 months ago
2012
ACM
In this demo, we will present Tiresias, the first how-to query engine. How-to queries represent fundamental data analysis questions of the form: “How should the input change in...
JOTA
2011
13 years 2 months ago
2011
Given an algorithm A for solving some mathematical problem based on the iterative solution of simpler subproblems, an Outer Trust-Region (OTR) modification of A is the result of ...
JMLR
2010
13 years 6 months ago
2010
In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existing methods for learning polyhedral classifier which solve a constrained optimiza...
PRL
2010
13 years 9 months ago
2010
We consider the problem of fitting linearly parameterized models, that arises in many computer vision problems such as road scene analysis. Data extracted from images usually cont...
COMCOM
2007
13 years 11 months ago
2007
In this paper we address the problem of constrained optimization (ILP formulation) and propose a set of heuristic algorithms for assigning light-trails [1–4,7,10] to WDM ring ne...
CEC
2010
IEEE
14 years 16 days ago
2010
IEEE
In this paper, we present a memetic algorithm with novel local optimizer hybridization strategy for constrained optimization. The developed MA consists of multiple cycles. In each ...
ICRA
2006
IEEE
14 years 5 months ago
2006
IEEE
— This paper presents an approach to implement virtual fixtures for surgical robot assistants. Our approach uses a weighted, multi-objective (both linear and nonlinear) constrai...
CEC
2008
IEEE
14 years 6 months ago
2008
IEEE
— Many deterministic algorithms in the context of constrained optimization require the first-order derivatives, or the gradient vectors, of the objective and constraint function...