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- Paul M. Baggenstoss
- IEEE Trans. Signal Processing
- 1999

In this correspondence, we present a new approach to the design of probabilistic classifiers that circumvents the dimensionality problem. Rather than working with a common high-dimensional featureâ€¦ (More)

- Paul M. Baggenstoss
- IEEE Trans. Signal Processing
- 2003

In this paper, we present the theoretical foundation for optimal classification using class-specific features and provide examples of its use. A new probability density function (PDF) projectionâ€¦ (More)

- Paul M. Baggenstoss, Heinrich Niemann
- ICPR
- 2000

In this paper, we present a new approach to the design of probabilistic classifiers. Rather than working with a common high-dimensional feature vector, the classifier is written in terms of separateâ€¦ (More)

- Paul M. Baggenstoss
- The Journal of the Acoustical Society of America
- 2011

In this paper an algorithm is described for grouping sperm whale clicks received at a single hydrophone into click-trains associated with a given whale and propagation path. To accomplish this,â€¦ (More)

- Steven M. Kay, Albert H. Nuttall, Paul M. Baggenstoss
- IEEE Trans. Signal Processing
- 2001

This paper addresses the problem of calculating the multidimensional probability density functions (PDFs) of statistics derived from known many-to-one transformations of independent random variablesâ€¦ (More)

- Paul M. Baggenstoss
- ICASSP
- 2000

In this paper, we derive an algorithm similar to the well-known Baumâ€“Welch algorithm for estimating the parameters of a hidden Markov model (HMM). The new algorithm allows the observation PDF of eachâ€¦ (More)

- Paul M. Baggenstoss, Steven M. Kay
- IEEE Trans. Signal Processing
- 1991

It is shown that at high signal-to-noise ratio, phase data alone is a sufficient statistic for the estimation of the angle parameters of a single exponential signal in Gaussian noise. The thresholdâ€¦ (More)

- Paul M. Baggenstoss
- IEEE Transactions on Pattern Analysis and Machineâ€¦
- 2004

In this paper, we derive a technique for analysis of local distortions which affect data in real-world applications. In the paper, we focus on image data, specifically handwritten characters. Given aâ€¦ (More)

- Paul M. Baggenstoss, Frank Kurth
- The Journal of the Acoustical Society of America
- 2014

The recently introduced shift method is applied to detect and characterize burst-pulse vocalizations produced by marine mammals. To this end, burst pulses are modeled as sequences of click-likeâ€¦ (More)

- Satish Madhogaria, Paul M. Baggenstoss, Marek Schikora, Wolfgang Koch, Daniel Cremers
- IEEE Transactions on Aerospace and Electronicâ€¦
- 2015

Detection of cars has a high variety of civil and military applications, e.g., transportation control, traffic monitoring, and surveillance. It forms an important aspect in the deployment ofâ€¦ (More)