ALGLIB - C++/C#/Java numerical analysis library
About ALGLIB ALGLIB is a cross-platform numerical analysis and data processing library. It supports five programming languages (C++, C#, Java, Python, Delphi) and several operating systems (Windows and POSIX, including Linux). ALGLIB features include: Data analysis (classification/regression, statistics) Optimization and nonlinear solvers Interpolation and linear/nonlinear least-squares fitting Li
SVM-Struct Support Vector Machine for Complex Outputs
SVMstruct Support Vector Machine for Complex Outputs Author: Thorsten Joachims <thorsten@joachims.org> Cornell University Department of Computer Science Version: 3.10 Date: 14.08.2008 Overview SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping using labeled training examples (x1,y1), ..
Personal Robotics: Deep Learning for Grasping Novel Objects
Robot Learning Lab Personal Robotics, Co-Robots, Robotic Perception. Computer Science Department, Cornell University. Learning-based approaches in previous works have been succeesfully used for grasping novel objects, but required manual design of features for image and depth data. We use deep learning, which allow us to learn the basic features used by our algorithm directly from RGB-D data. Our
KLT: Kanade-Lucas-Tomasi Feature Tracker
KLT: An Implementation of the Kanade-Lucas-Tomasi Feature Tracker KLT is an implementation, in the C programming language, of a feature tracker for the computer vision community. The source code is in the public domain, available for both commercial and non-commerical use. The tracker is based on the early work of Lucas and Kanade [1], was developed fully by Tomasi and Kanade [2], and was explain
Spatial envelope
Modeling the shape of the scene: a holistic representation of the spatial envelope Aude Oliva, Antonio Torralba International Journal of Computer Vision, Vol. 42(3): 145-175, 2001. PDF Abstract: In this paper, we propose a computational model of the recognition of real world scenes that bypasses the segmentation and the processing of individual objects or regions. The procedure is based on a very
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RGB-D Tracking: Depth Scaling Kernelised Correlation Filters DS-KCF
willperone
MIST Project
Parthipan Siva( Research - Simple Tracker )
Laura Sevilla Lara
Page Redirection
Code - Sam Hare