Amit Banerjee

Learn More
Escherichia coli K12 cells carrying a cloned 1.4 kb HindIII fragment from plasmid ColV2-K94, showed increased survival in guinea pig serum. The recombinant plasmid also conferred group II surface exclusion, i.e. the cells were reduced in recipient ability towards the incoming plasmid R538drd in conjugation experiments. Southern blotting suggested homology(More)
Experiments have been conducted to characterize the growth of Spodoptera frugiperda (fall armyworm) (Sf9) cells in standard and modified spinner designs. Results suggest that in standard spinner flasks growth is limited by mixing and oxygen transfer. Modifications to spinner geometry, baffling and agitator aspect ratio provided increases in growth rate and(More)
This paper presents a method for anomaly detection in hyperspectral images based on the support vector data description (SVDD), a kernel method for modeling the support of a distribution. Conventional anomaly-detection algorithms are based upon the popular Reed–Xiaoli detector. However, these algorithms typically suffer from large numbers of false alarms(More)
The E2 enzymes are key enzymes in the ubiquitin and ubiquitin-like protein ligation pathways. To understand the functionality of the different E2 enzymes, we analyzed 190 protein sequences and 211 structures and electrostatic potentials. Key findings include: The ScUbc1 orthologs are defined by a C-terminal UBA domain. An N-terminal sequence motif that is(More)
There has been an increasing awareness of the enormous potential of microorganisms and enzymes for the transformation of synthetic chemicals with high chemo-, regio- and enatioselective manner. Chiral intermediates are in high demand by pharmaceutical industries for the preparation bulk drug substances. In this review article, microbial/enzymatic processes(More)
Remote identification of people is an important capability for security systems. Automatically controlling a pan-tilt-zoom camera is an effective way to collect high resolution video or images of people in an unconstrained environment. Often there will be more people in an area than cameras available. The cameras must then divide their time among the people(More)
A critical step for fitting a linear mixing model to hyperspectral imagery is the estimation of the abundances. The abundances are the percentage of each endmember within a given pixel; therefore, they should be non-negative and sum to one. With the advent of kernel based algorithms for hyperspectral imagery, kernel based abundance estimates have become(More)
In previous work, kernel methods were introduced as a way to generalize the linear mixing model. This work led to a new set of algorithms that performed the unmixing of hyperspectral imagery in a reproducing kernel Hilbert space. By processing the imagery in this space different types of unmixing could be introduced - including an approximation of intimate(More)