This paper proposes a metric learning based approach for human activity recognition with two main objectives: (1) reject unfamiliar activities and (2) learn with few examples. We s...
We examined the open issue of whether FACS action units (AUs) can be recognized more accurately by classifying local regions around the eyes, brows, and mouth compared to analyzin...
We present a novel approach to plan recognition based on a two-stage paradigm of graph construction and analysis. First, a graph structure called a Goal Graph is constructed to rep...
The co-occurrence pattern, a combination of binary or local features, is more discriminative than individual features and has shown its advantages in object, scene, and action rec...
In many distributed computing systems that are prone to either induced or spontaneous node failures, the number of available computing resources is dynamically changing in a rando...
Sagar Dhakal, Majeed M. Hayat, Jorge E. Pezoa, Cha...