G. Krishna

Publication List Details

Period

1966 - 2009

Number

45

Co-Authors

Change in the adiabatic invariant in a nonlinear two-mode model of Feshbach resonance passage (2006)

Itin, A. P., Vasiliev, A. A., Watanabe, S., Krishna, G.

Mean-field approach has recently been used to model coupled atom-molecular Bose-Einstein condensates (BEC) and coupled Fermi-Bose condensates near Feshbach resonance. Sweeping of magnetic field...

Did Radio Galaxies Play a Major Role in the Evolution of the Universe? (2003)

Krishna, G, Wiita, P. J

During the `quasar era' at z ~ 2 - 3, radio galaxies had a much higher co-moving density; however, such sources are only detectable for small fractions of their active lifetimes, thanks to expansion...

An effective clustering technique for feature extraction (1994)

Ramdas, V, Sridhar, V, Krishna, G

The performance of a classifier depends on the accuracy of measurement of the feature values. In this paper, we describe an approach for estimating feature values using a clustering technique. To...

An effective clustering technique for feature extraction (1994)

Ramdas, V, Sridhar, V, Krishna, G

The performance of a classifier depends on the accuracy of measurement of the feature values. In this paper, we describe an approach for estimating feature values using a clustering technique. To...

Vector Extrapolated Fast Maximum Likelihood Estimation Algorithm For Emission Tomography (1992)

Rajeevan, N, Rajgopal, K, Krishna, G

A new class of fast maximum likelihood estimation (MLE) algorithms for emission computed tomography (ECT) is developed. In these cyclic iterative algorithms, vector extrapolation techniques are...

Vector Extrapolated Fast Maximum Likelihood Estimation Algorithm For Emission Tomography (1992)

Rajeevan, N, Rajgopal, K, Krishna, G

A new class of fast maximum likelihood estimation (MLE) algorithms for emission computed tomography (ECT) is developed. In these cyclic iterative algorithms, vector extrapolation techniques are...

Time-Normalization Techniques for Speaker-Independent Isolated Word Recognition (1992)

Uma, S, Sridhar, V, Krishna, G

In this paper, we investigate various timenormalization techniques that are useful in the context of speaker-independent isolated word recognition. At the lowest level, we make use of LPC...

Time-Normalization Techniques for Speaker-Independent Isolated Word Recognition (1992)

Uma, S, Sridhar, V, Krishna, G

In this paper, we investigate various timenormalization techniques that are useful in the context of speaker-independent isolated word recognition. At the lowest level, we make use of LPC...

An object-oriented approach towards semantic interpretation of Indian languages. I (1991)

Nagvar, P, Sridhar, V, Krishna, G

Natural language interfaces provide flexible, natural and the-way-it-should-be interfaces. Analysis of natural language sentences involves not only syntactic analysis but also semantic analysis. We...

A plausible acquisition-model for semantic synthesis of patterns (1991)

Shekar, B, Murty, Narasimha M, Krishna, G

The paper deals with a specific knowledge-based approach to concept-synthesis, namely, `function-acquisition'. Comparison between two types of isomorphisms, and these are used in stipulating the...

An object-oriented approach towards semantic interpretation of Indian languages. I (1991)

Nagvar, P, Sridhar, V, Krishna, G

Natural language interfaces provide flexible, natural and the-way-it-should-be interfaces. Analysis of natural language sentences involves not only syntactic analysis but also semantic analysis. We...

A plausible acquisition-model for semantic synthesis of patterns (1990)

Shekar, B, Murty, Narasimha M, Krishna, G

The paper deals with a specific knowledge-based approach to concept-synthesis, namely, `function-acquisition'. Comparison between two types of isomorphisms, and these are used in stipulating the...

The function-acquisition paradigm in a knowledge-based concept-synthesis environment (1990)

Shekar, B, Murty, Narasimha M, Krishna, G

The authors consider a knowledge-based approach to concept-synthesis. The notion of concept is examined. Three different approaches to the synthesis of knowledge-based concepts are outlined. One of...

Minimal models and real-world models (1990)

Sridhar, V, Murty, Narasimha M, Krishna, G

Proposes a modified predicate completion scheme called the partial predicate completion scheme. It is more general than the delimited predicate completion scheme. The authors also present a scheme...

The function-acquisition paradigm in a knowledge-based concept-synthesis environment (1990)

Shekar, B, Murty, Narasimha M, Krishna, G

The authors consider a knowledge-based approach to concept-synthesis. The notion of concept is examined. Three different approaches to the synthesis of knowledge-based concepts are outlined. One of...

Minimal models and real-world models (1990)

Sridhar, V, Murty, Narasimha M, Krishna, G

Proposes a modified predicate completion scheme called the partial predicate completion scheme. It is more general than the delimited predicate completion scheme. The authors also present a scheme...

A Logical Model for Decision-Making (1989)

Sridhar, V, Murty, Narasimha M, Krishna, G

The general form of a decision making model raises hypotheses about the dynamics of stimulus, conception, and response and we might suppose that the decision process begins with the perception of...

A Logical Model for Decision-Making (1989)

Sridhar, V, Murty, Narasimha M, Krishna, G

The general form of a decision making model raises hypotheses about the dynamics of stimulus, conception, and response and we might suppose that the decision process begins with the perception of...

A knowledge-based clustering scheme (1987)

Shekar, B, Murty, M Narasimha, Krishna, G

In this paper the notion of conceptual cohesiveness is precised and used to group objects semantically, based on a knowledge structure called ‘cohesion forest’. A set of axioms is proposed which...

A hybrid clustering procedure for concentric and chain-like clusters (1981)

Murty, M Narasimha, Krishna, G

K-means algorithm is a well known nonhierarchical method for clustering data. The most important limitations of this algorithm are that: (1) it gives final clusters on the basis of the cluster...

A computationally efficient technique for data-clustering (1980)

Murty, Narasimha M, Krishna, G

A computationally efficient agglomerative clustering algorithm based on multilevel theory is presented. Here, the data set is divided randomly into a number of partitions. The samples of each such...

Location of concentrators in a computer communication network: a stochastic automation search method (1976)

Krishnan, R, Krishna, G, Deekshatulu, BL

The following problem is considered. Given the locations of the Central Processing Unit (ar;the terminals which have to communicate with it, to determine the number and locations of the concentrators...

Stability with Nonlinearity in a Sector (1966)

Thathachar, MAL, Srinath, MD, Krishna, G

Recent investigations of the stability of a class of nonlinear systems have extended the results of Popov. The block diagram representation of the problem is shown in Fig. 1 where the linear part...

Stability with Nonlinearity in a Sector (1966)

Thathachar, MAL, Srinath, MD, Krishna, G

Recent investigations of the stability of a class of nonlinear systems have extended the results of Popov. The block diagram representation of the problem is shown in Fig. 1 where the linear part...

Pharmacokinetics, Safety, and Efficacy of Posaconazole in Patients with Persistent Febrile Neutropenia or Refractory Invasive Fungal Infection

Ullmann, A. J., Cornely, O. A., Burchardt, A., Hachem, R., Kontoyiannis, D. P., Töpelt, K., ...

The pharmacokinetic profiles, safety, and efficacies of different dosing schedules of posaconazole oral suspension in patients with possible, probable, and proven refractory invasive fungal infection...