Bonny Banerjee
University of Memphis
Diagrammatic reasoningHuman–computer interactionMachine learningData miningBenchmark (computing)Artificial intelligenceSet (psychology)Domain (software engineering)Pattern recognitionConstraint satisfaction problemGestureInferenceSpeech recognitionComputer visionMathematicsComputer scienceProcess (engineering)Constraint satisfactionArtificial neural networkFeature extractionFeature learningCluster analysisTheoretical computer science
61Publications
11H-index
270Citations
Publications 59
Newest
Sep 8, 2016 in INTERSPEECH (Conference of the International Speech Communication Association)
#1Shamima Najnin (U of M: University of Memphis)H-Index: 7
#2Bonny Banerjee (U of M: University of Memphis)H-Index: 11
3 CitationsSource
Sep 8, 2016 in INTERSPEECH (Conference of the International Speech Communication Association)
#1Shamima Najnin (U of M: University of Memphis)H-Index: 7
#2Bonny Banerjee (U of M: University of Memphis)H-Index: 11
Last. Monique PoussonH-Index: 6
view all 8 authors...
2 CitationsSource
#1Aditya Panda (Jadavpur University)H-Index: 2
#2Srijan Ghoshal (Jadavpur University)H-Index: 1
Last. Atulya K. Nagar (Liverpool Hope University)H-Index: 23
view all 5 authors...
In this paper, a novel Static Learning (SL) strategy to adaptively vary swarm size has been proposed and integrated with Particle Swarm Optimization algorithm. Besides, the whole population has been divided into two sub swarms, where particles of different sub swarms interact within their neighbourhood and the existence of better particle is determined by evaluating its survival probability. Proper resource based particle replacement scheme and a linear chaotic term has also been included to ens...
1 CitationsSource
#1Sriparna Saha (Jadavpur University)H-Index: 10
#2Rimita Lahiri (Jadavpur University)H-Index: 4
Last. Atulya K. Nagar (Liverpool Hope University)H-Index: 23
view all 5 authors...
With the growing interest in the domain of human computer interaction (HCI) these days, budding research professionals are coming up with novel ideas of developing more versatile and flexible modes of communication between a man and a machine. Using the attributes of internet, the scientists have been able to create a web based social platform for learning any desired art by the subject himself/herself, and this particular procedure is termed as electronic learning or e-learning. In this paper, ...
5 CitationsSource
#1Sriparna Saha (Jadavpur University)H-Index: 10
#2Amit Konar (Jadavpur University)H-Index: 38
Last. Atulya K. Nagar (Liverpool Hope University)H-Index: 23
view all 6 authors...
Patients with prosthesis defects find it is very difficult to perform day-to-day basic tasks which involve employment of their limbs. This motivates us to develop a system where an artificial limb is employed to mimic the arm gestures of the patients for assisting them. Towards developing this system, we have taken the help from the electroencephalography (EEG) signals acquired from the brain of the patients to build a bypass network (BPN) to direct the artificial limb. Since difficulties are al...
3 CitationsSource
#1Sriparna Saha (Jadavpur University)H-Index: 10
#2Shreyasi Datta (Jadavpur University)H-Index: 8
Last. Atulya K. Nagar (Liverpool Hope University)H-Index: 23
view all 5 authors...
This work demonstrates an interesting approach to gesture recognition for elderly people for the purpose of health monitoring at home. The system proposes to detect disorder symptoms on the basis of gesture analysis and generate alarms, thereby finding significance in elderly healthcare. Here the gestures are tracked using Microsoft's Kinect sensor. From each frame captured by the Kinect sensor, four centroids representing four parts of the body are calculated and from these four centroids a nov...
2 CitationsSource
#1Jayanta K. Dutta (U of M: University of Memphis)H-Index: 7
#2Bonny BanerjeeH-Index: 11
Last. Chandan K. Reddy (WSU: Wayne State University)H-Index: 28
view all 3 authors...
Outlier detection has been an active area of research for a few decades. We propose a new definition of outlier that is useful for high-dimensional data. According to this definition, given a dictionary of atoms learned using the sparse coding objective, the outlierness of a data point depends jointly on two factors: the frequency of each atom in reconstructing all data points (or its negative log activity ratio, NLAR) and the strength by which it is used in reconstructing the current point. A R...
12 CitationsSource
The problem of nonlinear acoustic to articulatory inversion mapping is investigated in the feature space using two models, the deep belief network (DBN) which is the state-of-the-art, and the general regression neural network (GRNN). The task is to estimate a set of articulatory features for improved speech recognition. Experiments with MOCHA-TIMIT and MNGU0 databases reveal that, for speech inversion, GRNN yields a lower root-mean-square error and a higher correlation than DBN. It is also shown...
4 CitationsSource
Apr 1, 2015 in AAAI (National Conference on Artificial Intelligence)
#1Bonny Banerjee (U of M: University of Memphis)H-Index: 11
#2Lisa Lucks Mendel (U of M: University of Memphis)H-Index: 11
Last. Shamima Najnin (U of M: University of Memphis)H-Index: 7
view all 5 authors...
Cochlear implants (CIs) are an effective intervention for individuals with severe-to-profound sensorineural hearing loss. Currently, no tuning procedure exists that can fully exploit the technology. We propose online unsupervised algorithms to learn features from the speech of a severely-to-profoundly hearing-impaired patient round-the-clock and compare the features to those learned from the normal hearing population using a set of neurophysiological metrics. Experimental results are presented. ...
Jan 25, 2015 in AAAI (National Conference on Artificial Intelligence)
#1Jayanta K. Dutta (U of M: University of Memphis)H-Index: 7
#2Bonny Banerjee (U of M: University of Memphis)H-Index: 11
We present an unsupervised approach for abnormal event detection in videos. We propose, given a dictionary of features learned from local spatiotemporal cuboids using the sparse coding objective, the abnormality of an event depends jointly on two factors: the frequency of each feature in reconstructing all events (or, rarity of a feature) and the strength by which it is used in reconstructing the current event (or, the absolute coefficient). The Incremental Coding Length (ICL) of a feature is a ...
28 Citations