We applied a multi-class k-nearest-neighbor based text classiication algorithm to the adap-tive and batch ltering problems in the TREC-9 ltering track. While our systems performed well in the batch ltering tasks, they did not perform as well in the adaptive ltering tasks, in part because we did not have an adequate mechanism for taking advantage of the relevance feedback information provided by...

Feature means countenance, remote sensing scene objects with similar characteristics, associated to interesting scene elements in the image formation process. They are classified into three types in image processing, that is low, middle and high. Low level features are color, texture and middle level feature is shape and high level feature is semantic gap of objects. An image retrieval system i...

Introduction: Breast cancer is the second cause of mortality among women. Early detection is the only rescue to reduce the risk of breast cancer mortality. Traditional methods cannot effectively diagnose tumor since they are based on the assumption of well-balanced dataset.. However, a hybrid method can help to alleviate the two-class imbalance problem existing in the ...

We analyze the convergence rates of $k$ nearest neighbor density estimation method, under notation="LaTeX">$\ell _{\alpha} $ norm with notation="LaTeX">$\alpha \in [1,\infty]$ . Our analysis includes two different cases depending on w...