4 research outputs found
Quantum Response at Finite Fields and Breakdown of Chern Numbers
We show that the response to an electric field, in models of the Integral
Quantum Hall effect, is analytic in the field and has isolated essential
singularity at zero field. We also study the breakdown of Chern numbers
associated with the response of Floquet states. We argue, and give evidence,
that the breakdown of Chern numbers in Floquet states is a discontinuous
transition at zero field. This follows from an observation, of independent
interest, that Chern numbers for finite dimensional Floquet operators are
generically zero. These results rule out the possibility that the breakdown of
the Hall conductance is a phase transition at finite fields for a large class
of models.Comment: 16 pages, 8 eps figures, LaTeX2e with IOP style. Many changes,
including new materia
Audio Event Detection using Weakly Labeled Data
Acoustic event detection is essential for content analysis and description of
multimedia recordings. The majority of current literature on the topic learns
the detectors through fully-supervised techniques employing strongly labeled
data. However, the labels available for majority of multimedia data are
generally weak and do not provide sufficient detail for such methods to be
employed. In this paper we propose a framework for learning acoustic event
detectors using only weakly labeled data. We first show that audio event
detection using weak labels can be formulated as an Multiple Instance Learning
problem. We then suggest two frameworks for solving multiple-instance learning,
one based on support vector machines, and the other on neural networks. The
proposed methods can help in removing the time consuming and expensive process
of manually annotating data to facilitate fully supervised learning. Moreover,
it can not only detect events in a recording but can also provide temporal
locations of events in the recording. This helps in obtaining a complete
description of the recording and is notable since temporal information was
never known in the first place in weakly labeled data.Comment: ACM Multimedia 201