搜索结果: 1-6 共查到“信息与通信工程 feature selection”相关记录6条 . 查询时间(0.067 秒)
Hopfield Networks in Relevance and Redundancy Feature Selection Applied to Classification of Biomedical High-Resolution Micro-CT Images
feature selection image features pattern classification
2015/7/28
We study filter–based feature selection methods for classification of biomedical images. For feature selection, we use two filters — a relevance filter which measures usefulness of individual features...
AIRBORNE LIDAR FEATURE SELECTION FOR URBAN CLASSIFICATION USING RANDOM FORESTS
Lidar Full-waveform Classifi cation Feature selection Random Forests Urban scenes
2009/2/19
Various multi-echo and Full-waveform (FW) lidar features can be processed. In this paper, multiple classifers are applied to lidar
feature selection for urban scene classification. Random fores...
DRM: Dynamic Region Matching for Image Retrieval Using Probabilistic Fuzzy Matching and Boosting Feature Selection
Dynamic Region Matching Image Retrieval Probabilistic Fuzzy Matching
2008/12/31
This paper considers the semantic gap in content-based image retrieval from two aspects: (1)
irrelevant visual contents (e.g. background) scatter the mapping from image to human perception; (2) unsup...
MEAN-SHIFT BLOB TRACKING WITH ADAPTIVE FEATURE SELECTION AND SCALE ADAPTATION
MEAN-SHIFT BLOB TRACKING FEATURE SELECTION SCALE ADAPTATION
2007/12/31
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we propose a method to embed...
MEAN-SHIFT BLOB TRACKING WITH ADAPTIVE FEATURE SELECTION AND SCALE ADAPTATION
MEAN-SHIFT ADAPTIVE FEATURE SELECTION SCALE ADAPTATION
2007/12/31
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we
propose a method to embe...
Semantic scoring based on Small-World Phenomenon for feature selection in text mining
Semantic scoring Small-World Phenomenon feature selection in text mining
2006/12/31
This paper proposes an effective scoring scheme for feature selection in Text Mining, using characteristics of Small-World Phenomenon on the semantic networks of documents. Our focus is on the reserva...