drsrinathsridhar / kaadugalLinks
Kaadugal is a parallelized multi-core C++ implementation of the random forests algorithm for classification, regression, and structured prediction problems.
☆23Updated 7 years ago
Alternatives and similar repositories for kaadugal
Users that are interested in kaadugal are comparing it to the libraries listed below
Sorting:
- ☆15Updated 8 years ago
- ☆20Updated 9 years ago
- Set of basic classes (vector, matrix, images and memory array) for CPU and GPU☆17Updated 4 years ago
- slic video segmentation☆10Updated 10 years ago
- Modifications to the LibHand Library☆17Updated 7 years ago
- ☆15Updated 5 years ago
- ☆29Updated 10 years ago
- Undirected Probailistic Graphical Modes for C++☆12Updated 5 years ago
- surface normal estimation (CVPR 2015)☆33Updated 8 years ago
- Implicit Shape Representation for 3D Tracking and Reconstruction☆65Updated 9 years ago
- Calibration tool for OpenNI sensors☆21Updated 9 years ago
- My Matlab Library☆10Updated 9 years ago
- Sample code from the RGBD section of the OpenCV tutorial at CVPR 2014☆35Updated 10 years ago
- 2D Human Pose Estimation Software☆33Updated 10 years ago
- Progressive 3D Modeling All the Way☆23Updated 8 years ago
- BOLD - Binary Online Learned Descriptor - CVPR 2015☆33Updated 8 years ago
- ☆34Updated 10 years ago
- FastHOG library that has been fixed to work with CUDA 5.x on Ubuntu 12.04☆20Updated 11 years ago
- Corresponding topologically different 3D shapes☆13Updated 8 years ago
- A Lightweight Bayesian Filtering Library with real-time support☆19Updated 5 years ago
- Dense trajectories generated from mocap data. Presented at CVPR 14.☆24Updated 4 years ago
- This is a "MSR-SSLA" (Microsoft Research Shared Source license agreement ) licensed project for object detection in RGB-Depth images usin…☆17Updated 11 years ago
- Code Release for "Viewpoints and Keypoints" CVPR 2015.☆31Updated 7 years ago
- gSLIC is an GPU implementation of Simple Iterative Linear Clustering (SLIC) superpixel segmentation algorithm.☆19Updated 11 years ago
- Automatic Feature Selection☆31Updated 8 years ago
- Reconstructing 3D Human Pose from 2D Image Landmarks☆52Updated 12 years ago
- Painting-to-3D Model Alignment Via Discriminative Visual Elements; M. Aubry, B. Russell and J. Sivic; ACM Transactions on Graphics, 2014 …☆28Updated 10 years ago
- Robust and scalable PCA using Grassmann averages, in C++ with Matlab bindings☆29Updated 7 years ago
- Pose estimation of a 2D picture, given a 3D bundler output☆25Updated 10 years ago
- Caltech's Large Scale Image Search Toolbox☆10Updated 10 years ago