htl4ic
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：460KB
下载次数：167
上传日期：2014-04-10 16:38:44
上 传 者：
bj妹子
说明： 使用新兴的机器学习方法：迁移学习进行图片分类，分类效果明显提高。
(Use the emerging machine learning methods: migration study carried pictures segments, segment results improved significantly.)
文件列表:
htl4ic (0, 2014-02-22)
htl4ic\combineAU.m (190, 2011-09-28)
htl4ic\data (0, 2014-02-22)
htl4ic\data\10 (0, 2014-02-22)
htl4ic\data\10.txt (45, 2011-09-28)
htl4ic\data\10\A.mat (42741, 2011-09-28)
htl4ic\data\10\Alab.mat (183, 2011-09-28)
htl4ic\data\10\B1.mat (120469, 2011-09-28)
htl4ic\data\10\B2.txt (739166, 2011-09-28)
htl4ic\data\10\C.txt (709227, 2011-09-28)
htl4ic\data\10\mytags.txt (4210, 2011-09-28)
htl4ic\dosvm.m (881, 2011-09-28)
htl4ic\loaddata.m (129, 2011-09-28)
htl4ic\runTask.m (1277, 2011-09-28)
htl4ic\tools (0, 2014-02-22)
htl4ic\tools\cmf (0, 2014-02-22)
htl4ic\tools\cmf\eval (0, 2014-02-22)
htl4ic\tools\cmf\eval\evaluate_error.m (948, 2011-09-28)
htl4ic\tools\cmf\eval\extract_common.m (698, 2011-09-28)
htl4ic\tools\cmf\eval\extract_rare.m (608, 2011-09-28)
htl4ic\tools\cmf\eval\mae.m (414, 2011-09-28)
htl4ic\tools\cmf\eval\rmse.m (209, 2011-09-28)
htl4ic\tools\cmf\eval\split_matrix.m (1040, 2011-09-28)
htl4ic\tools\cmf\gen_data.m (466, 2011-09-28)
htl4ic\tools\cmf\glm.m (7463, 2011-09-28)
htl4ic\tools\cmf\glmparams.m (7934, 2011-09-28)
htl4ic\tools\cmf\glm_utils (0, 2014-02-22)
htl4ic\tools\cmf\glm_utils\check_covariance.m (1116, 2011-09-28)
htl4ic\tools\cmf\glm_utils\create_scaling_matrix.m (655, 2011-09-28)
htl4ic\tools\cmf\glm_utils\estimate_stochastic_hessian.m (715, 2011-09-28)
htl4ic\tools\cmf\glm_utils\initial_steplength.m (472, 2011-09-28)
htl4ic\tools\cmf\glm_utils\mean_normchange.m (153, 2011-09-28)
htl4ic\tools\cmf\glm_utils\replace_zero_deriv.m (724, 2011-09-28)
htl4ic\tools\cmf\glm_utils\safe_cond.m (315, 2011-09-28)
htl4ic\tools\cmf\glm_utils\sample_factor.m (538, 2011-09-28)
htl4ic\tools\cmf\glm_utils\sample_factor_weighted.m (712, 2011-09-28)
htl4ic\tools\cmf\glm_utils\step_report.asv (1378, 2011-09-28)
htl4ic\tools\cmf\glm_utils\step_report.m (1377, 2011-09-28)
htl4ic\tools\cmf\glm_utils\verify_weights.m (946, 2011-09-28)
... ...
This Matlab package implements the algorithm in the following paper:
Yin Zhu, Zhongqi Lu, Sinno J. Pan, Gui-Rong Xue, Yong Yu and Qiang Yang. Heterogeneous Transfer Learning for Image Classification. In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2011), San Francisco, California, USA, August 7-11, 2011.
It is based on a CMF package implemented by Ajit Paul Singh and modified by Nathan Liu.
The package is implemented by Yin Zhu and is now maintained by Zhongqi Lu. Contacts for Yin and Zhongqi:
yinz@connect.ust.hk
zluab@ust.hk
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