325,719 research outputs found
Prof. S. Parthasarathy (1917–2021): Bhishma pitamah of LIS profession
No full textProf. S. Parthasarathy (1917–2021): Bhishma pitamah of LIS professio
T. S. Epstein, M. N. Panini, M. N. Srinivas, V. S. Parthasarathy, Besoins essentiels dans l'État du Karnataka, Inde
No full textÉtienne Gilbert. T. S. Epstein, M. N. Panini, M. N. Srinivas, V. S. Parthasarathy, Besoins essentiels dans l'État du Karnataka, Inde. In: Tiers-Monde, tome 25, n°100, 1984. Le développement en question, sous la direction de Serge Latouche. p. 947
From quantum stochastic differential equations to Gisin-Percival state diffusion
No full textStarting from the quantum stochastic differential equations of Hudson and Parthasarathy Commun. Math. Phys. 93, 301 (1984) and exploiting the Wiener-Itô-Segal isomorphism between the boson Fock reservoir space �(L2(�+)�(�n��n)) and the Hilbert space L2(μ), where μ is the Wiener probability measure of a complex n-dimensional vector-valued standard Brownian motion (B(t),t�0), we derive a non-linear stochastic Schrödinger equation describing a classical diffusion of states of a quantum system, driven by the Brownian motion B. Changing this Brownian motion by an appropriate Girsanov transformation, we arrive at the Gisin-Percival state diffusion equation N. Gisin and J. Percival, J. Phys. A 167, 315 (1992). This approach also yields an explicit solution of the Gisin-Percival equation, in terms of the Hudson-Parthasarathy unitary process and a randomized Weyl displacement process. Irreversible dynamics of system density operators described by the well-known Gorini-Kossakowski-Sudarshan-Lindblad master equation is unraveled by coarse-graining over the Gisin-Percival quantum state trajectories. © 2017 Author(s)
Novel Frameworks for Attribute-Based Speech Emotion Recognition using Time-Continuous Traces and Sentence-Level Annotations
No full textSpeech emotion recognition (SER) plays an important role in a growing world of automation and artificial intelligence. Robust and accurate SER systems are crucial for enhancing
human-computer interaction. Emotional attributes such as arousal (calm versus excited),
valence (negative versus positive), and dominance (weak versus strong) provide a powerful
representation to describe a wide variety of complex emotions expressed in everyday interactions. However, SER systems for emotional attributes face important key challenges. First,
defining an effective temporal granularity for the analysis and recognition of emotion is an
open research question. Most of the emotions expressed during human interactions are neutral. While existing SER frameworks often analyze isolated sentences, it is important to
identify and focus the analysis on emotional salient regions. Second, emotional attribute labels are collected with perceptual evaluations from multiple annotators. The subjectiveness
of the annotators and the complex nature of natural human interaction make the evaluation
process noisy, leading to low inter-evaluator agreement affecting the quality of SER systems.
It is important to define formulations that are effective in the presence of noisy labels. Another major challenge facing SER systems is their generalization across multiple conditions.
SER systems have to maintain performance in the presence of different speakers, channels
vi
and recording conditions. This dissertation proposes novel frameworks to address these open
challenges.
For time-continuous annotations, this dissertation proposes the definition of emotionally
salient regions (hotspots) using the qualitative agreement (QA) method. The QA method
combines annotations from multiple evaluators by identifying agreeable trends. We illustrate
the benefits of the QA method over averaging absolute values of the traces without considering trends across evaluators. After defining these hotspots, we propose fusion techniques
to predict their presence with novel machine learning formulations. The detection method
combines multiple deep learning regressors by averaging their predictions, or relying again
on the QA method over the predicted traces. The results indicate that hotspots can be
reliably identified with the proposed methods.
To address the noisy nature of emotional labels, we formulate the SER task as an ordinal
problem where the objective is to rank emotional recording according to a given emotional
attribute. We obtain relative scores by establishing preferences between absolute scores.
First, we explore whether a preference learning framework relying on deep learning can
outperform conventional ranking algorithms (i.e., RankSVM). The proposed approach implemented with the RankNet algorithm achieves state-of-the-art results. Likewise, we modify
the QA method to learn reliable preferences for sentence-level annotations, avoiding learning
preferences from averaged absolute labels. We compare the QA-based preference labels with
the absolute preference-labels for rank-ordering emotional attributes using the RankNet and
RankMargin algorithms, obtaining more accurate predictions.
Finally, this dissertation proposes frameworks to increase the generalization of SER systems.
First, this dissertation presents methods to jointly learn multiple emotional attributes by
exploiting their interdependencies. The framework relies on multi-task learning (MTL) with
shared hidden layers to learn rich representations for attribute prediction. Next, we improve our MTL framework by including an unsupervised auxiliary task to reconstruct hidden layer
representations of an autoencoder. The framework relies on ladder networks that utilize
skip connections between encoder and decoder layers to learn powerful representations of
emotional attributes. This approach achieves state-of-the-art performance for within-corpus
and cross-corpus experiments.
Collectively, this dissertation addresses various challenges affecting SER systems. Our novel
contributions produce state-of-the-art performance for emotional attribute predictions, making clear advances toward SER-based applications
Optimal strategy sets for continuous two-person games
No full textIn the zero-sum (non-zero sum) completely mixed game each player has only one optimal (equilibrium) strategy (Parthasarathy and Raghavan, 1971). It is known that even for a three person completely mixed finite game the equilibrium set may contain more than one point (Chin, Parthasarathy and Raghavan, 1974). For continuous two person zero-sum games, it is known that there can be more than one optimal strategy even if the game is completely mixed
Assessment of sleep in ventilator-supported critically III patients
No full textOBJECTIVES:
In critically ill patients, sleep derangements are reported to be severe using Rechtschaffen and Kales (R&K) methodology; however, whether such methodology can reliably assess sleep during critical illness is unknown. We set out to determine the reproducibility of 4 different sleep-assessment methods (3 manual and 1 computer-based) for ventilator-supported critically ill patients and also to quantify the extent to which the reproducibility of the manual methods for measuring sleep differed between critically ill and ambulatory (control) patients.
DESIGN:
Observational methodologic study.
SETTING:
Academic center.
PATIENTS:
Critically ill patients receiving mechanical ventilation and age-matched controls underwent polysomnography.
INTERVENTIONS:
None.
MEASUREMENTS AND RESULTS:
Reproducibility for the computer-based method (spectral analysis of electroencephalography [EEG]) was better than that for the manual methods: R&K methodology and sleep-wakefulness organization pattern (P = 0.03). In critically ill patients, the proportion of misclassifications for measurements using spectral analysis, sleep-wakefulness organization pattern, and R&K methodology were 0%, 36%, and 53%, respectively (P < 0.0001). The EEG pattern of burst suppression was not observed. Interobserver and intraobserver reliability of the manual sleep-assessment methods for critically ill patients (kappa = 0.52 +/- 0.23) was worse than that for control patients (kappa = 0.89 +/- 0.13; P = 0.03). In critically ill patients, the overall reliability of the R&K methodology was relatively low for assessing sleep (kappa = 0.19), but detection of rapid eye movement sleep revealed good agreement (kappa = 0.70).
CONCLUSIONS:
Reproducibility for spectral analysis of EEG was better than that for the manual methods: R&K methodology and sleep-wakefulness organization pattern. For assessment of sleep in critically ill patients, the use of spectral analysis, sleep-wakefulness organization state, or rapid eye movement sleep alone may be preferred over the R&K methodology
Coauthor prediction for junior researchers
No full textResearch collaboration can bring in different perspectives and generate more productive results. However, finding an appropriate collaborator can be difficult due to the lacking of sufficient information. Link prediction is a related technique for collaborator discovery; but its focus has been mostly on the core authors who have relatively more publications. We argue that junior researchers actually need more help in finding collaborators. Thus, in this paper, we focus on coauthor prediction for junior researchers. Most of the previous works on coauthor prediction considered global network feature and local network feature separately, or tried to combine local network feature and content feature. But we found a significant improvement by simply combing local network feature and global network feature. We further developed a regularization based approach to incorporate multiple features simultaneously. Experimental results demonstrated that this approach outperformed the simple linear combination of multiple features. We further showed that content features, which were proved to be useful in link prediction, can be easily integrated into our regularization approach. © 2013 Springer-Verlag
Diffusive author(s), cohesive author: Analysis of S/N (1994)
No full textThis study indicates the ways in which various aspects of the author(s) are brought forth in Dumb type’s performance art, the S/N production. Previous research has suggested a non-hierarchical organization of Dumb type and the absence of a “privileged author” in Dumb type’s collaborative work, S/N. However, the results that I have investigated from member’s interviews on the creative process of S/N along with my analysis of the recorded images of S/N, indicate a different aspect of the author(s). First, S/N was created through, so to speak, the collective ideas of the members of Dumb type. Further, S/N has at least nine quotations from previous performances, installations, and printed writings, besides the work-in-progress technique. Explicating one of the “author functions” as given by Michel Foucault, each text has plural subjects of the author. However, it has been revealed from members’ interviews that Teiji Furuhashi had a decision-making role in selecting the members’ ideas within the performance. Since then, S/N has had plural subjects of creation; however, Furuhashi is one of the subjects of creation along with the “privileged author.” S/N has plural authors (diffusive authors) yet at the same time, it has a “privileged author,” Teiji Furuhashi (cohesive author)
Optimal strategy sets for continuous two-person games
No full textIn the zero-sum (non-zero sum) completely mixed game each player has only one optimal (equilibrium) strategy (Parthasarathy and Raghavan, 1971). It is known that even for a three person completely mixed finite game the equilibrium set may contain more than one point (Chin, Parthasarathy and Raghavan, 1974). For continuous two person zero-sum games, it is known that there can be more than one optimal strategy even if the game is completely mixed
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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