Results 21 to 30 of about 240,268 (117)
Data Mining and Knowledge Discovery Handbook, 2008 Support vector machines (SVMs) are a family of machine learning methods, originally introduced for the problem of classification and later generalized to various other situations.
Ingo Steinwart, A. Christmann
semanticscholar +1 more source
Real-Time Action Recognition with Enhanced Motion Vector CNNs [PDF]
Computer Vision and Pattern Recognition, 2016 The deep two-stream architecture [23] exhibited excellent performance on video based action recognition. The most computationally expensive step in this approach comes from the calculation of optical flow which prevents it to be real-time.
Bowen Zhang +4 more
semanticscholar +1 more source
A Semi-Lagrangian scheme for a modified version of the Hughes model for pedestrian flow [PDF]
, 2016 In this paper we present a Semi-Lagrangian scheme for a regularized version of the Hughes model for pedestrian flow. Hughes originally proposed a coupled nonlinear PDE system describing the evolution of a large pedestrian group trying to exit a domain as
A Alla +46 more
core +5 more sources
Vector Approximate Message Passing
IEEE Transactions on Information Theory, 2019 The standard linear regression (SLR) problem is to recover a vector $\mathrm {x}^{0}$ from noisy linear observations $\mathrm {y}=\mathrm {Ax}^{0}+\mathrm {w}$ . The approximate message passing (AMP) algorithm proposed by Donoho, Maleki, and Montanari
S. Rangan, Philip Schniter, A. Fletcher
semanticscholar +1 more source
On quasistability of a vector combinatorial problem with \Sigma-MINMAX and \Sigma-MINMIN partial criteria [PDF]
Computer Science Journal of Moldova, 2004 We consider one type of stability (quasistability) of a vector combinatorial problem of finding the Pareto set. Under quasistability we understand a discrete analogue of lower semicontinuity by Hausdorff of the many-valued mapping, which defines the ...
Vladimir A. Emelichev +2 more
doaj
A comparison of methods for multiclass support vector machines
IEEE Trans. Neural Networks, 2002 Support vector machines (SVMs) were originally designed for binary classification. How to effectively extend it for multiclass classification is still an ongoing research issue. Several methods have been proposed where typically we construct a multiclass
Chih-Wei Hsu, Chih-Jen Lin
semanticscholar +1 more source
An analytical review of vector- and pathogen-based transmission-blocking vaccine for malaria control
Journal of Vector Borne Diseases, 2022 Malaria is a vector borne disease, considered to be one of the most serious public health problems. The present review focused on the blocking of parasite development in mosquito vectors; one broad strategy for achieving this is Transmission Blocking ...
R. Jakhar, Neelam Sehrawat, S. Gakhar
semanticscholar +1 more source
Selecting training sets for support vector machines: a review
Artificial Intelligence Review, 2019 Support vector machines (SVMs) are a supervised classifier successfully applied in a plethora of real-life applications. However, they suffer from the important shortcomings of their high time and memory training complexities, which depend on the ...
J. Nalepa, M. Kawulok
semanticscholar +1 more source
Hierarchy of integrable geodesic flows [PDF]
, 2000 A family of integrable geodesic flows is obtained.
Topalov, Peter
core +2 more sources
High order discretization schemes for stochastic volatility models [PDF]
, 2013 International audienceIn usual stochastic volatility models, the process driving the volatility of the asset price evolves according to an autonomous one-dimensional stochastic differential equation.
Jourdain, Benjamin, Sbai, Mohamed
core +4 more sources