Abstract Multiple Instance Learning (MIL) has become an important topic in the pattern
recognition community, and many solutions to this problem have been proposed until now …

Fine-grained action recognition involves comparison of similar actions of variable-length
size consisting of subtle interactions between human and specific objects. Hence, we …

Recognition of facial expressions across various actors, contexts, and recording conditions
in real-world videos involves identifying local facial movements. Hence, it is important to …

In numerous domains it is useful to represent a single example by the set of the local
features or parts that comprise it. However, this representation poses a challenge to many …

Multi-instance learning (MIL) is a useful tool for tackling labeling ambiguity in learning
because it allows a bag of instances to share one label. Bag mapping transforms a bag into …

Dynamic kernel (DK)-based support vector machines are used for the classification of
varying length patterns. This paper explores the use of intermediate matching kernel (IMK) …

The general recipe of kernel methods, such as support vector machines (SVMs), includes a
preliminary step of hand-crafting or designing similarity kernels. This process, which has …

In this paper, we describe the participation of CNRS TELECOM ParisTech in the ImageCLEF
2013 Scalable Concept Image Annotation challenge. This edition promotes the use of many …

Due to the importance of nuclear structure in cancer diagnosis, several predictive models
have been described for diagnosing a wide variety of cancers based on nuclear …

In this paper, we apply speech and audio processing techniques to bird vocalizations and
for the classification of birds found in the lower Himalayan regions. Mel frequency cepstral …