Latent Dirichlet Allocation(LDA) [pdf]模型是近年来提出的一种具有文本主题表示能力的非监督学习模型。 关键所在：it posits that each document is a mixture of a small number of topics and that each word's creation is attributable to one of the document's topics。 将文档看成是一组主题的混合，词有分配到每个主题的概率。 Probabilistic latent semantic analysis（PLSA） LDA可以看成是服 从贝叶斯分布的PLSA LDA，就是将原来向量空间的词的维度转变为Topic的维度，这一点是十分有意义的。 例如，...

Download now Lire - Lucene Image REtrieval 0.5.4 descriptionLire, the Lucene Image REtrieval library is a simple way to create a Lucene index of image features for content based image retrieval (CBIR). The used features are taken from the MPEG-7 Standard: ScalableColor, ColorLayout and EdgeHistogram. Furthermore methods for searching the index are provided. The LIRE library is part of the Caliph & Emir project and aims to provide the CBIR features of Caliph & Emir ...