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Search - multiple instance learning - List
[
Other resource
]
MILL
DL : 0
Multiple INstance Learning Library
Update
: 2008-10-13
Size
: 2.16mb
Publisher
:
huangtc
[
AI-NN-PR
]
MILL
DL : 0
Multiple INstance Learning Library
Update
: 2025-02-17
Size
: 2.16mb
Publisher
:
huangtc
[
Process-Thread
]
flowcontrol
DL : 0
流程控制学习程序,包括多层嵌套的IF-ELSE语句实例、正整数分解质因数、判断素数等-Process control learning process, including multiple nested IF-ELSE statements instance, a positive integer prime factor decomposition to determine prime numbers, etc.
Update
: 2025-02-17
Size
: 2kb
Publisher
:
SY
[
matlab
]
semantic-video-retrieval
DL : 0
视频语义检索英文论文,主要是针对交通监控视频。-a human centered multiple instance learning framework for semantic video retrieval
Update
: 2025-02-17
Size
: 350kb
Publisher
:
guojuan
[
Special Effects
]
PFmiltracker
DL : 0
自己实现的 particle filter 结合 multiple instance learning 的代码。必须安装intel ipp 6.0,可在intel 的官方下载30天试用版。测试视频可从miltracker的官方网站下载-particle filter with multiple instance tracking
Update
: 2025-02-17
Size
: 13.07mb
Publisher
:
niulu
[
OpenCV
]
oneshowmanyImages
DL : 0
基于openCV学习的实用实例,在一个窗中实时显示多个摄像头拍摄状况及图像处理结果-Practical instance based on openCV learning, real-time display of multiple camera shooting position and the image processing results in a window
Update
: 2025-02-17
Size
: 4.31mb
Publisher
:
gaosuwen
[
Special Effects
]
REDUCTION-FOR-MIL--
DL : 0
为MIL,即multiple instance learning,多实例学习,来进行特征降维,大大减少计算量。2010年,IEEE收录的。-MIL, the multiple the instance learning and multi-instance learning for feature dimensionality reduction, greatly reduce the amount of calculation. In 2010, the IEEE included.
Update
: 2025-02-17
Size
: 732kb
Publisher
:
苏苏
[
matlab
]
New-Folder
DL : 0
Multiple-Instance Learning for Weakly Supervised Object Categorization
Update
: 2025-02-17
Size
: 4kb
Publisher
:
no_name
[
AI-NN-PR
]
MilTrack_matlab_v1.0
DL : 0
MATLAB demo for paper "Visual Tracking with Online Multiple Instance Learning" by Boris Babenko, Ming-Hsuan Yang, Serge Belongie ,CVPR 2009, Miami, Florida. -MATLAB demo for paper "Visual Tracking with Online Multiple Instance Learning" by Boris Babenko, Ming-Hsuan Yang, Serge Belongie ,CVPR 2009, Miami, Florida.
Update
: 2025-02-17
Size
: 18kb
Publisher
:
李乔哲
[
CSharp
]
Sniffor
DL : 0
C#抓包程序实例,学习如何抓取数据包、抓取的数据包集合等,并使用了皮肤控件对窗口进行美化处理,初始化窗体皮肤实例,抓包时可以多个网卡同时抓取,循环抓取每个网卡的数据包,为每个网卡IP配置一个抓取实例,产生一个委托实例并添加到newPacket的事件列表中,并赋予委托执行方法为begainUpdateList,并添加事件newPacket的处理函数,并定义了事件newPacket的处理函数,在主线程上执行委托关联的函数,完成抓取数据的接收并显示,显示数据包详细信息等-C# capture program instance, learning how to capture packets captured packet collection and use the skin controls on the window landscaping treatment, the form is initialized skin instance, can capture multiple network cards while ripping cycle grab each NIC packet to a crawl instance for each network adapter IP configuration, generate a delegate instance and added to the list of events newPacket, and given commissioned execution method begainUpdateList., and add event newPacket the processing function, and defines the event processing function newPacket, executes the delegate on the main thread associated function, complete the crawl data reception and display packet details
Update
: 2025-02-17
Size
: 244kb
Publisher
:
zpudn21
[
Special Effects
]
sadasuanfa
DL : 0
跟踪领域三大经典算法,PNLearning,Ross_IncrementalTracking_ijcv,Visual Tracking with Online Multiple Instance Learning-Three classical algorithm tracking field, PNLearning, Ross_IncrementalTracking_ijcv, Visual Tracking with Online Multiple Instance Learning
Update
: 2025-02-17
Size
: 7.84mb
Publisher
:
张子龙
[
source in ebook
]
OnlineMilBoost
DL : 0
用多例学习进行鲁棒性追踪-主要是对Robust Object Tracking with Online Multiple Instance Learning论文中算法的改进(参考其中的源码)-Multi-case study conducted with robust tracking- mainly for Robust Object Tracking with Online Multiple Instance Learning Algorithm paper (reference the source of which)
Update
: 2025-02-17
Size
: 19.8mb
Publisher
:
kaxium
[
Special Effects
]
WMILTracker
DL : 0
基于K. Zhang, H. Song., 的文章Real-Time Visual Tracking via Online Weighted Multiple Instance Learning., Pattern Recognition, vol. 46, pp. 397~411, 2013. (IF: 2.632)的代码-K. Zhang, H. Song., Real-Time Visual Tracking via Online Weighted Multiple Instance Learning., Pattern Recognition, vol. 46, pp. 397~411, 2013. (IF: 2.632) (paper&source code)
Update
: 2025-02-17
Size
: 19.33mb
Publisher
:
小李
[
matlab
]
Citation-KNN
DL : 0
多实例学习的经典实例,目前非常流行,对传统的近邻算法的改进-Classic example of a multiple- instance learning, is very popular, to the improvement of the traditional neighbor algorithm
Update
: 2025-02-17
Size
: 3kb
Publisher
:
hk
[
Special Effects
]
Packet-mural-image-classification
DL : 0
壁画图像分类中的分组多实例学习方法.好图像处理的论文-Packet mural image classification based on multiple instance learning method. Good image processing paper
Update
: 2025-02-17
Size
: 5.21mb
Publisher
:
王敏
[
OpenCV
]
MilTracker-V1.0
DL : 0
MIL论文及源码,基于opencv1.0和IPP6.0。已调通,调试中可能出现的问题及解决方法在压缩包中。-MIL(Multiple Instance Learning)paper and source code.The code is based on opencv1.0 and IPP6.0.
Update
: 2025-02-17
Size
: 13.11mb
Publisher
:
xc
[
matlab
]
kissme
DL : 0
Multiple instance metric learning automatically labeled bags of faces-Multiple instance metric learning automatically labeled bags of faces
Update
: 2025-02-17
Size
: 33kb
Publisher
:
Saradhi
[
Graph program
]
MildML_0.1-Matlab.tar
DL : 0
图像标注算法 MildML 的 matlab 代码, 多示例学习标注算法-image annotation algorithm of MildML in matlab code of <Multiple Instance Logistic Discriminant-based Metric Learning (MildML) and Logistic Discriminant-based Metric Learning (LDML)>
Update
: 2025-02-17
Size
: 18kb
Publisher
:
午阳
[
AI-NN-PR
]
miltool
DL : 0
多示例学习的算法集合,集成了各种主流设计算法-An ensemble of the typical multiple-instance learning algorithms
Update
: 2025-02-17
Size
: 246kb
Publisher
:
susan
[
matlab
]
MIMLBoost and MIMLSVM
DL : 0
压缩包中包含MIMLBOOST算法和MIMLSVM算法的matlab代码(The package includes the MATLAB code of algorithms MIMLBOOST and MIMLSVM, both which are designed to deal with multi-instance multi-label learning. It is in particular useful when a real-world object is associated with multiple instances as well as multiple labels simultaneously. A Readme file and some sample files are included in the package.)
Update
: 2025-02-17
Size
: 94kb
Publisher
:
马小户
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