Despite the advances in machine learning techniques, similarity assessment among
multimedia data remains a challenging task of broad interest in computer science …

摘要图像物体分类与检测是计算机视觉研究中的两个重要的基本问题, 也是图像分割, 物体跟踪,
行为分析等其他高层视觉任务的基础. 本文从物体分类与检测问题的基本定义出发, 首先从实例 …

Inferring topological and geometrical information from data can offer an alternative
perspective in machine learning problems. Methods from topological data analysis, eg …

Time-series classification (TSC) problems present a specific challenge for classification
algorithms: how to measure similarity between series. A shapelet is a time-series …

We present a novel approach to measuring similarity between shapes and exploit it for
object recognition. In our framework, the measurement of similarity is preceded by:(1) …

Part structure and articulation are of fundamental importance in computer and human vision.
We propose using the inner-distance to build shape descriptors that are robust to articulation …

This paper presents a novel framework for the recognition of objects based on their
silhouettes. The main idea is to measure the distance between two shapes as the minimum …

We propose EMD-L_ {1}: a fast and exact algorithm for computing the Earth Mover's
Distance (EMD) between a pair of histograms. The efficiency of the new algorithm enables …

A cognitively motivated similarity measure is presented and its properties are analyzed with
respect to retrieval of similar objects in image databases of silhouettes of 2D objects. To …

Spectral clustering (SC) methods have been successfully applied to many real-world
applications. The success of these SC methods is largely based on the manifold …