User profiles for V. Panchapagesan
Venkatesh PanchapagesanIndian Institute of Management, Bangalore (INDIA) Verified email at iimb.ernet.in Cited by 1638 |
Geography and acquirer returns
We examine the impact of geographical proximity on the acquisition decisions of US public
firms over the period 1990–2003. Transactions where the acquirer and target firms are …
firms over the period 1990–2003. Transactions where the acquirer and target firms are …
Price discovery in auction markets: A look inside the black box
A Madhavan, V Panchapagesan - The Review of Financial …, 2000 - academic.oup.com
Opening mechanisms play a crucial role in information aggregation following the overnight
nontrading period. This article examines the process of price discovery at the New York Stock …
nontrading period. This article examines the process of price discovery at the New York Stock …
The information content of the limit order book: evidence from NYSE specialist trading decisions
LE Harris, V Panchapagesan - Journal of Financial Markets, 2005 - Elsevier
Specialists compete with limit order traders to provide liquidity at the New York Stock
Exchange. Since specialists see all system limit orders, they enjoy a unique advantage in this …
Exchange. Since specialists see all system limit orders, they enjoy a unique advantage in this …
[HTML][HTML] Multi-task learning and weighted cross-entropy for DNN-based keyword spotting
We propose improved Deep Neural Network (DNN) training loss functions for more accurate
single keyword spotting on resource-constrained embedded devices. The loss function …
single keyword spotting on resource-constrained embedded devices. The loss function …
The changing nature of Chapter 11
ST Bharath, V Panchapagesan… - Fisher College of …, 2010 - papers.ssrn.com
The US Chapter 11 bankruptcy system has long been viewed as equity friendly, with absolute
priority deviations (APD) in favor of equity holders occurring as often as in 75% of the …
priority deviations (APD) in favor of equity holders occurring as often as in 75% of the …
Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting
We propose a max-pooling based loss function for training Long Short-Term Memory (LSTM)
networks for small-footprint keyword spotting (KWS), with low CPU, memory, and latency …
networks for small-footprint keyword spotting (KWS), with low CPU, memory, and latency …
[HTML][HTML] Compressed time delay neural network for small-footprint keyword spotting
In this paper we investigate a time delay neural network (TDNN) for a keyword spotting task
that requires low CPU, memory and latency. The TDNN is trained with transfer learning and …
that requires low CPU, memory and latency. The TDNN is trained with transfer learning and …
[HTML][HTML] Model compression applied to small-footprint keyword spotting
Several consumer speech devices feature voice interfaces that perform on-device keyword
spotting to initiate user interactions. Accurate on-device keyword spotting within a tight CPU …
spotting to initiate user interactions. Accurate on-device keyword spotting within a tight CPU …
Monophone-based background modeling for two-stage on-device wake word detection
Accurate on-device wake word detection is crucial to products with far-field voice control
such as the Amazon Echo. It is quite challenging to build a wake word system with both low …
such as the Amazon Echo. It is quite challenging to build a wake word system with both low …
Did decimalization hurt institutional investors?
S Chakravarty, V Panchapagesan, RA Wood - Journal of Financial Markets, 2005 - Elsevier
We examine institutional trading costs around the move to penny size ticks in 2001 (ie,
decimalization). We find that overall trading costs declined, with improvements in most partitions …
decimalization). We find that overall trading costs declined, with improvements in most partitions …