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Description: FRACLAB fractal, multifractal and wavelet analysis toolbox
works with scilab-2.5.1 or higher.
Author
======
Fractales project at INRIA
http://www.inria.fr/Equipes/FRACTALES-fra.html
http://www-syntim.inria.fr/fractales/fractales-eng.html
COPYRIGHT
=========
This Software is ( Copyright INRIA . 1998 1 )
INRIA holds all the ownership rights on the Software.
The scientific community is asked to use the SOFTWARE
in order to test and evaluate it.
INRIA freely grants the right to use modify the Software,
integrate it in another Software.
Any use or reproduction of this Software to obtain profit or
for commercial ends being subject to obtaining the prior express
authorization of INRIA.
INRIA authorizes any reproduction of this Software.
- in limits defined in clauses 9 and 10 of the Berne
agreement for the protection of literary and artistic works
respectively specify in their paragraphs 2 and 3 authorizing
only the reproduction and quoting of works on the condition
that :
- "this reproduction does not adversely affect the normal
exploitation of the work or cause any unjustified prejudice
to the legitimate interests of the author".
- that the quotations given by way of illustration and/or
tuition conform to the proper uses and that it mentions
the source and name of the author if this name features
in the source",
- under the condition that this file is included with
any reproduction.
Any commercial use made without obtaining the prior express
agreement of INRIA would therefore constitute a fraudulent
imitation.
The Software beeing currently developed, INRIA is assuming no
liability, and should not be responsible, in any manner or any
case, for any direct or indirect dammages sustained by the user.
Any user of the software shall notify at INRIA any comments
concerning the use of the Sofware (e-mail : FracLab@inria.fr)
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Size: 6661558 |
Author: 82729643@qq.com |
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Description: 科学计算软体
SCILAB是以法国国立信息与自动化研究院（INRIA）和法国桥梁学院（ENPC）的科学家
为主共同开发的“开放源码”式科学计算软件-Scientific Computing Software SCILAB is the French National Institute of Information and Automation (INRIA) and the French Bridge School (ENPC) jointly developed by scientists based " open source" type of scientific computing software,
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Size: 1935360 |
Author: 王迁 |
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Description:
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Size: 120832 |
Author: Xistos |
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Description: Bamg is an isotropic mesh generator. It was developed at French Institute INRIA.-Bamg is an anisotropic mesh generator. It was developed at French Institute INRIA.
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Size: 175104 |
Author: Xistos |
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Description: 一个多精度高效的浮点计算C语言库 , 基于GMP .-The MPFR library is a C library for multiple-precision floating-point computations with correct rounding. MPFR has continuously been supported by the INRIA and the current main authors come from the CACAO and Arénaire project-teams at Loria (Nancy, France) and LIP (Lyon, France) respectively see more on the credit page. MPFR is based on the GMP multiple-precision library.
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Author: gbios |
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Description: 本文运用尺度空间理论检测人体，通过集成
面向梯度与histogramof尺度空间理论
-Human detection is the task of finding presence and position
of human beings in images. In this paper, we apply
scale space theory to detecting human in still images. By integrating
scale space theory with histogramof oriented gradients
(HOG), we designed a new feature descriptor called
scale space histogram of oriented gradients (SS-HOG). SSHOG
focus on the multiple scale property of describe an
object. Using HOGs at multiple scale, SS-HOG encodes
more information to discriminate human bodies from other
object types than traditional uni-scale HOGs. Experiments
on INRIA person dataset demonstrate the effectiveness of
our method.
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Size: 142336 |
Author: 谷川 |
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Description: This bundle provides the source code for the INRIA Object Detection and Localization Toolkit, with various optimizations including a CUDA port that allows most of the processing to be offloaded to a CUDA-capable NVidia graphics card for substantial speedups.
-This bundle provides the source code for the INRIA Object Detection and Localization Toolkit, with various optimizations including a CUDA port that allows most of the processing to be offloaded to a CUDA-capable NVidia graphics card for substantial speedups.
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Size: 4988928 |
Author: qinlei |
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Description: HOG特征的实现.INRIA cvpr2005论文实现-HOG feature implementation. INRIA cvpr2005 paper to achieve
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Size: 5120 |
Author: 石 |
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Description: 提出一种多尺度方向(multi-scale orientation,简称 MSO)特征描述子用于静态图片中的人体目标检
测.MSO 特征由随机采样的图像方块组成,包含了粗特征集合与精特征集合.其中,粗特征是图像块的方向,而精特征
由 Gabor 小波幅值响应竞争获得.对于两种特征,分别采用贪心算法进行选择,并使用级联 Adaboost 算法及 SVM 训
练检测模型.基于粗特征的 Adaboost 分类器能够保证高的检测速度,而基于精特征的 SVM 分类器则保证了检测精
度.另外,通过 MSO 特征块的平移,使得所提算法能够检测多视角的人体.通过对于 MSO 特征块的装配,使得算法能
够检测人群中相互遮挡的人体目标.在INRIA公共测试集合及SDL多视角测试集合上的实验结果表明,算法具有对视角与遮挡的鲁棒性和较高的检测速度. -The multi-scale orientation (MSO) features for pedestrian detection in still images are put forwarded in
this paper. Extracted on randomly sampled square image blocks (units), MSO features are made up of coarse and
fine features, which are calculated with a unit gradient and the Gabor wavelet magnitudes respectively. Greedy
methods are employed respectively to select the features. Furthermore, the selected features are inputted into a
cascade classifier with Adaboost and SVM for classification. In addition, the spatial location of MSO units can be
shifted, are used to the handle multi-view problem and assembled therefore, the occluded features are completed
with average features of training positives, given an occlusion model, which enable the proposed approach to work
in crowd scenes. Experimental results on INRIA testset and SDL multi-view testset report the state-of-arts results on
INRIA include it is 12.4 times the faster than SVM+HOG method.
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Author: 尹世荣 |
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Description: solution for exercises in this book
http://www-sop.inria.fr/members/Eitan.Altman/COURS-NS/n3.pdf
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Size: 245760 |
Author: buzramit |
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Description: solution to problems in this book
http://www-sop.inria.fr/members/Eitan.Altman/COURS-NS/n3.pdf
PS: the output traces .tr and .nam are not included but you can generate them using the existing files
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Size: 43008 |
Author: buzramit |
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Description: solution to problems in this book
http://www-sop.inria.fr/members/Eitan.Altman/COURS-NS/n3.pdf
PS: the output traces .tr and .nam are not included but you can generate them using the existing files
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Size: 322560 |
Author: buzramit |
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Description: solution to problems in this book
http://www-sop.inria.fr/members/Eitan.Altman/COURS-NS/n3.pdf
PS: the output traces .tr and .nam are not included but you can generate them using the existing files
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Size: 347136 |
Author: buzramit |
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Description: solution to problems in this book ]
http://www-sop.inria.fr/members/Eitan.Altman/COURS-NS/n3.pdf
PS: the output traces .tr and .nam are not included but you can generate them using the existing files
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Size: 223232 |
Author: buzramit |
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Description: solution to problems in this book
http://www-sop.inria.fr/members/Eitan.Altman/COURS-NS/n3.pdf
PS: the output traces .tr and .nam are not included but you can generate them using the existing files
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Size: 827392 |
Author: buzramit |
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Description: solution to problems in this book
http://www-sop.inria.fr/members/Eitan.Altman/COURS-NS/n3.pdf
PS: the output traces .tr and .nam are not included but you can generate them using the existing files
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Size: 3072 |
Author: buzramit |
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Description: This a human detection benchmark for INRIA human dataset. use it to compare your algorithm with others.-This is a human detection benchmark for INRIA human dataset. use it to compare your algorithm with others.
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Size: 2876416 |
Author: Soheil |
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Description: SCILAB 是由法国国家信息、自动化研究院(INRIA)的科学家们开发的“开放源码”软件。SCILAB 一词来源于英文 “Scientific Laboratory"（科学实验室）词头的合并。-SCILAB is " open source" software developed by the French National Institute of Automation (INRIA) scientists. SCILAB term derived from the merger of the English " Scientific Laboratory" (Science Laboratory) prefix.
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Size: 15892480 |
Author: 朱祖请 |
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Description: Fast mex K-means clustering algorithm with possibility of K-mean++ initialization
(mex-interface modified from the original yael package https://gforge.inria.fr/projects/yael)
- Accept single/double precision input
- Support of BLAS/OpenMP for multi-core computation
Please run mexme_yael_kmeans.m to compile mex-files (be sure that mex -setup have been done at least one)
Run demo "test_yael_kmeans.m"-Fast mex K-means clustering algorithm with possibility of K-mean++ initialization
(mex-interface modified from the original yael package https://gforge.inria.fr/projects/yael)
- Accept single/double precision input
- Support of BLAS/OpenMP for multi-core computation
Please run mexme_yael_kmeans.m to compile mex-files (be sure that mex-setup have been done at least one)
Run demo "test_yael_kmeans.m"
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Author: zfhou |
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Description: 行人检测的源始论文资料，搞行人检测的朋友可以看一下喔。不容错过。-Pedestrian detection primordial thesis information, engage in pedestrian detection friends can look oh. Not to be missed.
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Size: 413696 |
Author: YanZhi |
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