5 Result(s)
within
Computer Science
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Dong** Lu
Chapter
Conference Paper
-
Chapter and Conference Paper
Learning Local Feature Descriptors with Quadruplet Ranking Loss
In this work, we propose a novel deep convolutional neural network (CNN) with quadruplet ranking loss to learn local feature descriptors. The proposed model receives quadruplets of two corresponding patches an...
-
Chapter and Conference Paper
Finding Frequent Items in Time Decayed Data Streams
Identifying frequently occurring items is a basic building block in many data stream applications. A great deal of work for efficiently identifying frequent items has been studied on the landmark and sliding w...
-
Chapter and Conference Paper
Improving Semi-supervised Text Classification by Using Wikipedia Knowledge
Semi-supervised text classification uses both labeled and unlabeled data to construct classifiers. The key issue is how to utilize the unlabeled data. Clustering based classification method outperforms other s...
-
Chapter and Conference Paper
OptRegion: Finding Optimal Region for Bichromatic Reverse Nearest Neighbors
The MaxBRNN problem is to find an optimal region such that setting up a new service site within this region might attract the maximal number of customers by proximity. It has many practical applications such a...
-
Chapter and Conference Paper
A Technique for Improving the Performance of Naive Bayes Text Classification
Naive Bayes classifier is widely used in text classification tasks, and it can perform surprisingly well, it is often regarded as a baseline. But previous researches show that the skewed distribution of traini...
