You can download the M_Map toolbox either as a gzipped tar-file ,or as zip archive(Click on these links to download - note, some problems with this have been reported by users of the Chromeweb browser). If you are unpacking the zipfile MAKE SURE YOUALSO UNPACK SUBDIRECTORIES! Both are around 650k in size. Once you havethisarchive, read the Getting started sectionof the User's guide to correctlyinstall this toolbox, and sections 8.6and 9.3 to install ETOPO1and GSHHS respectively.A number of examples are available tohighlight the various capabilities of M_Map (thumbnails are shownabove).
The software package includes 5 algorithms to find the position of the archetypes from high-dimensional data, developped by other authors for other purposes (e.g. remote sensing). We integrated them in ParTI to save the user the burden of downloading, installing and configuring the different algorithms, which include:
download matlab 2013 15
DOWNLOAD: https://urlcod.com/2vJd6n
Contrary to ParTI(), ParTI_lite() does not compute the p-value of the identified polytopes nor errors on the archetypes which require to repeatedly reshuffle the dataset. This leads to a dramatic increase in speed: in the case of the cancer data of Curtis et al., Nature (2012) supplied with the package, the entire analysis can be performed in a few minutes with ParTI_lite(), while the complete statistical assessment performed by ParTI() may require several hours for large datasets (e.g. 4h for the cancer data of Curtis al. on a 3.4GHz CPU with 8 GB of RAM on Matlab 2013). Therefore, we recommend to first explore new data sets using ParTI_lite(), and then confirm the statistical significance of the findings using ParTI().
The GUI updated version for the MCR-ALS algorithm consists of a series of MATLAB files developed under its release 2013a. The main MCR routine is named mcr_main and it calls all the necessary auxiliary routines. MCR-ALS code, related tutorials and data sets for practicing are available at the Multivariate Curve Resolution web page.
Platform MATLAB version File name Microsoft Windows 32-bit 7.4 .. 8.4 plecs-blockset-3-5-6_win32.exe (44777664 bytes)SHA1: b35cb68cee1573e745b4fe50b735ec3e895442f3 Microsoft Windows 64-bit 7.4 .. 8.4 plecs-blockset-3-5-6_win64.exe (47102656 bytes)SHA1: 865b85f06c7e9eb00418a0490a432f542b0c8d7c Mac / Intel 32-bit 7.4 .. 7.10 plecs-blockset-3-5-6_maci.tar.gz (48719939 bytes)SHA1: 1bc610f7e015e3ffd7f0139a7aa2838abe1e86a2 Mac / Intel 64-bit 7.9 .. 8.4 plecs-blockset-3-5-6_maci64.tar.gz (48579630 bytes)SHA1: fd7ca608d7c17dbbe231851acff3d990516c6005 Linux / Intel 32-bit 7.4 .. 8.4 plecs-blockset-3-5-6_linux32.tar.gz (50427257 bytes)SHA1: 036a3d5ecd9a422e700ded45ad5243c044f2e711 Linux / Intel 64-bit 7.4 .. 8.4 plecs-blockset-3-5-6_linux64.tar.gz (49201323 bytes)SHA1: 550a039d9b20c91041706a9b907fa6e4a840eaa7 The files were last updated on Friday, October 31, 2014 - 10:34
Platform MATLAB version File name Microsoft Windows 32-bit 6.5 ... 8.1 plecs-blockset-3-3-7_win32.exe (40531536 bytes)SHA1: 4a357fea4b513227da5cf53bfff314e4fa72b835 Microsoft Windows 64-bit 7.4 ... 8.1 plecs-blockset-3-3-7_win64.exe (43266128 bytes)SHA1: fd2daa5d5251aec198124eabf39596d0f64b2604 Mac / Intel 32-bit 7.4 ... 7.10 plecs-blockset-3-3-7_maci.tar.gz (44778727 bytes)SHA1: 9b1abf67c70c5eab8eeaa4c5c25399b69e81a539 Mac / Intel 64-bit 7.9 ... 8.1 plecs-blockset-3-3-7_maci64.tar.gz (44597236 bytes)SHA1: 72506e71925a032024623e88392e5e3eed06cde1 Linux / Intel 32-bit 7.4 ... 7.14 plecs-blockset-3-3-7_linux32.tar.gz (47057539 bytes)SHA1: 02549b37be50ec3c63cdfbfe15a4c0fe562b5d73 Linux / Intel 64-bit 7.4 ... 8.1 plecs-blockset-3-3-7_linux64.tar.gz (45028017 bytes)SHA1: 61e09e59b70e43382f30b4c57f141ecbd09cf1e4 The files were last updated on Tuesday, July 2, 2013 - 16:15
Platform MATLAB version File name Microsoft Windows 32-bit 6.5 ... 7.2 plecs-blockset-3-1-8_w32_r13.zip (32239752 bytes)SHA1: 0c5f953d11626b3ed58fb49740b83c92b60918aa Microsoft Windows 32-bit 7.3 ... 7.12 plecs-blockset-3-1-8_w32_r2006b.zip (32244016 bytes)SHA1: 306950c63b8a4ae863caf6346c4aafe2b1702715 Microsoft Windows 64-bit 7.4 ... 7.12 plecs-blockset-3-1-8_w64_r2007a.zip (40129467 bytes)SHA1: 883a1764693e1108061a659e93b388f1d92da25a Mac / Intel 32-bit 7.4 ... 7.10 plecs-blockset-3-1-8_maci_r2007a.tar.gz (41719886 bytes)SHA1: e1865cc4b6df5b183fa40c40509e7f3d758d127b Mac / Intel 64-bit 7.9 ... 7.12 plecs-blockset-3-1-8_maci64_r2009b.tar.gz (41309218 bytes)SHA1: d69dbe66fbeb71c8f8102d5b01838621e3ce1e94 Linux / Intel 32-bit 7.4 ... 7.12 plecs-blockset-3-1-8_glx_r2007a.tar.gz (43229405 bytes)SHA1: f124e0ec2a9f4ecd739bc273d40e0b3cf095afc7 Linux / Intel 64-bit 7.4 ... 7.12 plecs-blockset-3-1-8_a64_r2007a.tar.gz (40493231 bytes)SHA1: d2cc44e895c7e43f9023e6b1b05f085e5aa93100 The files were last updated on Tuesday, February 26, 2013 - 14:33
Platform MATLAB version File name Microsoft Windows 32-bit 6.5 plecs-blockset-3-0-8_w32_r13.zip (27232131 bytes)SHA1: c61c0b3fb10737ba90e2f0cec31cc9f07afda19d Microsoft Windows 32-bit 7.0 ... 7.9 plecs-blockset-3-0-8_w32_r14.zip (27236641 bytes)SHA1: f8e3df69418d5c1f21ec1ed280cee31966373419 Microsoft Windows 64-bit 7.4 ... 7.9 plecs-blockset-3-0-8_w64_r2007a.zip (35430091 bytes)SHA1: 647a7e4e2bc8710cdd66337e8619eae0dd1929a4 Mac / Intel 32-bit 7.4 ... 7.9 plecs-blockset-3-0-8_maci_r2007a.tar.gz (32197161 bytes)SHA1: b8ac3ef42ea7ef5c7e5416fd5c297eabc9eabcac Mac / Intel 64-bit 7.9 plecs-blockset-3-0-8_maci64_r2009b.tar.gz (31832528 bytes)SHA1: 073d1f9bc2cdfa77f96153f62758716f4de94a49 Linux / Intel 32-bit 7.2 ... 7.9 plecs-blockset-3-0-8_glx_r2006a.tar.gz (39178068 bytes)SHA1: e5c03ca7638d3343abb9b3d4a12d8c2e846c123a Linux / Intel 64-bit 7.2 ... 7.9 plecs-blockset-3-0-8_a64_r2006a.tar.gz (33678495 bytes)SHA1: 38a052488d5748f07cee53908321ddfc9380ea6d The files were last updated on Tuesday, February 26, 2013 - 14:16
Platform MATLAB version File name Microsoft Windows 32-bit 6.5 plecs-2-2-4_w32_r13.zip (17019398 bytes)SHA1: 40b9dfef7728c496c32a2a3caf01e02171586671 Microsoft Windows 32-bit 7.0 ... 7.9 plecs-2-2-4_w32_r14.zip (17021319 bytes)SHA1: 0998280001491b656e0df62a534d86f2fb6ee7a2 Microsoft Windows 64-bit 7.4 ... 7.9 plecs-2-2-4_w64_r2007a.zip (20386500 bytes)SHA1: 892c8b995640ad9cc7d14b0123c69183ff2608b8 Mac / PPC 7.4 ... 7.9 plecs-2-2-4_mac_r2007a.tar.gz (27283505 bytes)SHA1: c7885c54ac0cc41a7515a637423f63b5966c081f Mac / Intel 32-bit 7.4 ... 7.9 plecs-2-2-4_maci_r2007a.tar.gz (27522628 bytes)SHA1: 24d212da8ba6edfc4b6e84244120a519b68c6ef0 Linux / Intel 32-bit 7.2 ... 7.9 plecs-2-2-4_glx_r2006a.tar.gz (20584653 bytes)SHA1: d106693eccf94089e632baad0c0829619b5c638d Linux / Intel 64-bit 7.2 ... 7.9 plecs-2-2-4_a64_r2006a.tar.gz (20082241 bytes)SHA1: 14245614807750a0121bbbf932df41a24ed247c2 The files were last updated on Tuesday, February 26, 2013 - 13:51
Platform MATLAB version File name Microsoft Windows 32-bit 6.5 plecs-2-1-5_w32_r13.zip (16237902 bytes)SHA1: 03d73ac85cf03623e76865f011117de2161c9da1 Microsoft Windows 32-bit 7.0 ... 7.8 plecs-2-1-5_w32_r14.zip (16243656 bytes)SHA1: 632d8e5c49fe50111115c4d4c5b85b2bfbc48851 Microsoft Windows 64-bit 7.4 ... 7.8 plecs-2-1-5_w64_r2007a.zip (19543225 bytes)SHA1: 72a0b17617c2e04ffb8532ef50dc7c14f623d53e Mac / PPC 7.4 ... 7.8 plecs-2-1-5_mac_r2007a.tar.gz (26469830 bytes)SHA1: faf879fe407cd25e927888f0f99d12bd4927f793 Mac / Intel 32-bit 7.4 ... 7.8 plecs-2-1-5_maci_r2007a.tar.gz (26594063 bytes)SHA1: d5f335451ce8d146c660f7a0fee7d5407614e03d Linux / Intel 32-bit 7.2 ... 7.8 plecs-2-1-5_glx_r2006a.tar.gz (19814136 bytes)SHA1: 2a7da3837079eb70ddca0c6414b9f14e50f4cdf9 Linux / Intel 64-bit 7.2 ... 7.8 plecs-2-1-5_a64_r2006a.tar.gz (19240778 bytes)SHA1: a2be363ff012e02382533cd15f43546bbba5ca11 The files were last updated on Tuesday, February 26, 2013 - 13:41
Platform MATLAB version File name Microsoft Windows 32-bit 6.5 plecs-2-0-7_w32_r13.zip (11073504 bytes)SHA1: b6a9c775aff8f95582eb406fcb131039bf6b1dc1 Microsoft Windows 32-bit 7.0 ... 7.7 plecs-2-0-7_w32_r14.zip (11076866 bytes)SHA1: b2130eb78aa735c57b6e4bd75bef271b7e806f5a Microsoft Windows 64-bit 7.4 ... 7.7 plecs-2-0-7_w64_r2007a.zip (12725066 bytes)SHA1: 09330e61f76e04204655de75d33e8a6b0fefee26 Mac / PPC 7.0 ... 7.7 plecs-2-0-7_mac_r14.tar.gz (15789875 bytes)SHA1: a8e4b9674777ec33b5c9c22f20db5f5fecc9e96b Mac / Intel 32-bit 7.4 ... 7.7 plecs-2-0-7_maci_r2007a.tar.gz (15738650 bytes)SHA1: 0275527a5dd574e4cd768bb86653e5a57cdfe6bc Linux / Intel 32-bit 7.1 ... 7.7 plecs-2-0-7_glx_r14p3.tar.gz (12150493 bytes)SHA1: eea25c02ece4e7509945027b9e864303ed38e541 Linux / Intel 64-bit 7.1 ... 7.7 plecs-2-0-7_a64_r14p3.tar.gz (11948511 bytes)SHA1: 70e96cda3eaaad6b463682fa8185887a710fea4e The files were last updated on Tuesday, February 26, 2013 - 12:27
Automatic facial landmark detection is a longstanding problem in computer vision, and 300-W Challenge is the first event of its kind organized exclusively to benchmark the efforts in the field. The particular focus is on facial landmark detection in real-world datasets of facial images captured in-the-wild. The results of the Challenge will be presented at the 300-W Faces in-the-Wild Workshop to be held in conjunction with ICCV 2013.
Facial landmark detection performance will be assessed on both the 68 points mark-up of Fig 1 and the 51 points which correspond to the points without border (please see Fig1). The average point-to-point Euclidean error normalized by the inter-ocular distance (measured as the Euclidean distance between the outer corners of the eyes) will be used as the error measure. Matlab code for calculating the error can be downloaded from _error.m. Finally, the cumulative curve corresponding to the percentage of test images for which the error was less than a specific value will be produced. Additionally, fitting times will be recorded. These results will be returned to the participants for inclusion in their papers. 2ff7e9595c