We present an algorithm that quickly and accurately estimates vanishing points in images of
man-made environments. Contrary to previously proposed solutions, ours is neither iterative …

Impact analysis is the identification of the work products affected by a proposed change
request, either a bug fix or a new feature request. In many open-source projects, such as …

In this paper, we focus on face clustering in videos. Given the detected faces from real-world
videos, we partition all faces into K disjoint clusters. Different from clustering on a collection …

Supervised learning needs a huge amount of labeled data, which can be a big bottleneck
under the situation where there is a privacy concern or labeling cost is high. To overcome …

Historically, the principal interest in the typed λ-calculus is in connection with Godel's
functional (" Dialectica") interpretation'of intuitionistic arithmetic. However, since the early …

We propose a novel framework for constrained spectral clustering with pairwise constraints
which specify whether two objects belong to the same cluster or not. Unlike previous …

Multi-view subspace clustering is an effective method to partition data into their
corresponding categories. Nevertheless, existing multi-view subspace clustering …